AiTreat is a global leader in commercial soft tissue massage treatment robotics research and development. Through the fusion of medical and robotics technology, the company innovates and integrates medical robots that support physicians in delivering therapeutic patient care.

AiTreat's commitment to innovation aims to amplify physician productivity and provide patients with precise, consistently effective treatments. AiTreat fosters a dynamic and collaborative environment where creativity and innovation thrive. The team of startup founders, robotics researchers, and physicians work together to make a positive impact on patient well-being.

Project role: Soft Tissue Treatment Robotic System (EMMA7)

Project Description: The project focuses on the development of the new EMMA robotic system, a cutting-edge soft tissue massage treatment robot, at AiTreat.

Objective: AiTreat's goal is to create an innovative robotic system that revolutionises patient care by combining medical expertise with advanced robotics technology. Project Impact: The EMMA robotic system aims to address the shortage of skilled massage therapists and enhance the capabilities of physiotherapists in managing cases. It reduces treatment costs while providing consistent, high-quality care to patients.

Role Overview: The Trainee will play a vital role in shaping the future of healthcare through robotics and technology.

Scope of Work:

1. Embedded Systems Development: Collaborate with the team to code and test embedded systems for the EMMA robotic system.
2. PCB Design Contribution: Participate in the design process of the product's principle and partial PCB layouts.
3. Schematic and Diagrams Enhancement: Contribute to refining product schematics, diagrams, and participate in PCB reviews.
4. Reliability Testing: Assist in the design and execution of reliability tests to ensure the EMMA robotic system's performance and safety.
5. Customer Delivery Preparation: Prepare and deliver the EMMA robots to customers, including disassembling, assembling, and repairing the robots.

Aleph Tech is a Climate Tech company specialising in enhancing energy efficiency and expediting decarbonisation in manufacturing plants (e.g. chemicals, pharmaceuticals) and power sectors.

Powered by advanced AI and Digital-Twin technology, our software platform monitors predicts, and reduces energy use and carbon emissions. Our AI-driven system employs advanced machine learning models, aiding plant operators in pinpointing inefficiencies and optimising energy through in-platform alerts and tailored recommendations.

Beyond existing efficiency, our AI generates bespoke renewable energy transition plans for plants to unlock new energy efficiency levels. Our comprehensive approach empowers industries and power sectors to fortify efficiency, curtail environmental impact, and cultivate sustainable practices across the energy value chain, advancing toward a smarter, greener future.

Project role: Machine Learning Engineer

The Trainee will play a crucial role in optimising machine learning models and designing, developing, and implementing the software platform, leveraging the ML-models to optimise energy efficiency. They will collaborate with product manager, chemical engineer, and front-end engineer to:

1. Design, develop or refine the machine learning algorithms and architecture
2. Test, validate, and fine-tune AI-model accuracy and effectiveness in real/operational environment via projects with clients
3. Collaborate with front-end engineer and product manager to improve software platform's architecture, workflow, and design

Alteredverse, an incubator under YJP Surveyors Pte Ltd, specialises in digital twin geospatial solutions. They provide unique value by offering implementation and consulting services for the Digital Twin Metaverse to governments and businesses.

Leveraging their proficiency in aerial LiDAR, hyper-realistic 3D modeling, and gaming expertise, Alteredverse helps enterprises seamlessly integrate immersive 3D spatial experiences into their digital strategies.

They collaborate closely with Singapore Land Authority (SLA) and Nvidia.

Project role: Machine Learning Engineer (Geospatial AI)

The Trainee will play a vital role in developing and optimising cutting-edge AI models for point cloud segmentation and 3D asset creation. They will collaborate with AlteredVerse data engineers, 3D artists, and software engineers to create scalable and efficient solutions for segmenting and converting geospatial point clouds into realistic 3D models.

Key responsibilities of the trainee include:

• research, design and implement state-of-the-art machine learning algorithms and architectures for point cloud segmentation.
• train and fine-tune AI models using large-scale point cloud datasets, ensuring high accuracy and generalisation.
• conduct experiments, evaluate model performance, and iterate on model designs to achieve optimal results.

An understanding of computer vision concepts and machine learning is needed.

Aprisium is a sustainability-focused Deep Tech startup specialising in contamination detection and monitoring - in areas such as space across water, semi-solids and solids serving municipalities and corporates (wastewater, food, and incinerated waste), manufacturing (semi-con, EVs, Batteries etc.), Bio-fuels and (mine drainage, leachates etc.).

Aprisium helps companies and governments detect, monitor contaminants, and deliver insights for remediation by continuous and autonomous detection and monitoring of parameters in their discharges. Their efforts contribute to achieving 7 of the 17 United Nations Sustainable Development Goals (UNSDGs) related to contamination.

Project role: Chemical Engineer (Electrochemistry)

The Chemist in the Electrochemical Lab will play a crucial role in supporting the development and testing of novel electrochemical technologies. Their primary responsibilities involve conducting laboratory experiments, analysing data, and collaborating with the senior research team to achieve project objectives.

This is an excellent opportunity for a driven individual eager to learn, grow their skills, and significantly impact the development of innovative solutions.

Aprisium is a sustainability-focused Deep Tech startup specialising in contamination detection and monitoring - in areas such as space across water, semi-solids and solids serving municipalities and corporates (wastewater, food, and incinerated waste), manufacturing (semi-con, EVs, Batteries etc.), Bio-fuels and (mine drainage, leachates etc.).

Aprisium helps companies and governments detect, monitor contaminants, and deliver insights for remediation by continuous and autonomous detection and monitoring of parameters in their discharges. Their efforts contribute to achieving 7 of the 17 United Nations Sustainable Development Goals (UNSDGs) related to contamination.

Project role: Mechatronics Engineer (IOT enabled Autonomous Environmental Sensor Detection Device)

The Mechatronics Engineer will design, develop, and optimise mechatronic systems to support our electrochemical technologies. They will collaborate closely with the research and development team to create integrated and efficient solutions.

This role offers an exciting opportunity to contribute to cutting-edge technology and directly impact the future of sustainability in the environmental industry.

Aprisium is a sustainability-focused Deep-Tech startup operating in the contamination detection and monitoring space across water, semi-solids, and solids, catering to municipalities and corporates (wastewater, food, and incinerated waste), manufacturing sectors (semiconductors, EVs, batteries, etc.), biofuels, and areas like mine drainage and leachates. Aprisium aids companies and governments in detecting, monitoring contaminants, and providing insights for remediation through continuous and autonomous detection and monitoring of parameters in their discharges. We address 7 out of the 17 UNSDG goals related to contamination.

 

Project Role: Mechatronics Engineer (Production Setup and Quality Control)

As a Mechatronics Engineer at Aprisium, you will be responsible for designing, developing, and optimising mechatronic systems to support our electrochemical technologies. Leveraging your expertise in mechanical engineering, electronics, and control systems, you will collaborate closely with the research and development team to craft integrated and efficient solutions. This role presents an exciting opportunity to contribute to cutting-edge technology and make a direct impact on shaping the future of sustainability in the environmental industry.

ArmasTec™ is more than just an exoskeleton Deep Tech startup; they are pioneers pushing the boundaries of human capabilities. Based in the heart of Singapore, ArmasTec™ is poised to change the world's perspective on movement and accessibility.

Founded on the principles of innovation, empathy, and sustainability, their groundbreaking AireLevate™ exoskeleton technology is bridging the gap between man and machine, unlocking unparalleled opportunities for individuals to live fuller, more active lives.

Project role: Exoskeleton Adoption Engineer

Job Scope: The job is a hybrid role that utilises technical engineering skills to affect business outcomes.

1. Kick-start product adoption by utilising technical and engineering skills in order to adapt and customise the exoskeleton based on the operational needs of the customer.
2. Develop high-level designs based on requirements communicated by the customer, ensuring that feedback from the field is rapidly integrated into product.
3. Validate product prototypes and design concepts by using deep knowledge of the customer in order to represent realistic market needs in the product development process.
4. Innovate new product concepts that will open new avenues for ArmasTec™ by combining a thorough understanding of the market and the customer, and a keen sense of engineering possibilities.
5. Champion the benefits of the exoskeleton solutions to prospective clients, showcasing how ArmasTec™ products can revolutionise their operations or improve lives.
6. Spearhead onboarding and training sessions for clients, ensuring seamless product adoption and maximal user satisfaction.

Augmentus is an AI-robotics platform used by the world's leading robotics and advanced manufacturing companies.

They offer a no-code and fully-integrated programming software that enables anyone, even those with no robotic experience, to program dynamic industrial robots in minutes. Their proprietary technology incorporates algorithms to enable automated robot path generation and an intuitive graphical interface that eliminates the need for coding and CAD files in robot teaching.

Project role: Application Engineer (AI-Robotics Platform)

The Trainee will work on the following:

1. Collaborate with senior application engineers and robotics experts to implement robotic software solutions for various industrial applications.
2. Assist in configuring robotic systems to meet specific client needs, ensuring optimal performance and functionality.
3. Support the integration of robotic hardware, sensors, and software components to create comprehensive industrial automation solutions.
4. Participate in the creation of detailed technical documentation, including user manuals, guides, and system specifications.
5. Assist in troubleshooting technical issues and providing timely solutions to ensure smooth operation of robotic systems.
6. Collaborate with cross-functional teams to gather requirements, provide technical insights, and ensure successful project execution.
7. Learn and develop expertise in the company’s proprietary robotic systems and technologies.
8. Stay informed about the latest developments in industrial robotics and automation to contribute fresh ideas to projects.
9. Adapt and learn quickly to new tools, technologies, and processes as required.

Autove is a tech-driven company specializing in AI, robot, and vehicle-based autonomous delivery. Established in 2019, they introduced Singapore's inaugural Neolix autonomous vehicles, serving clients like Foodpanda, NUS, and M1.

With a seasoned team, Autove expanded into indoor autonomous delivery by late 2021. Focusing on commercial and hotel applications, they developed cloud mobile apps to seamlessly integrate robotics into hotel operations. Their Servie solution automates hospitality tasks, enhancing efficiency, revenue, and profitability for hoteliers.

Autove's successful trials with hotels culminated in securing their first commercial building delivery robot contract in early 2022.

Project role: Autonomous Delivery Robot Solution Empowered by E-commerce Platform (Servie)

Servie: A multimodal online service and e-commerce platform app that enables autonomous robot deliveries indoors. Servie offers a set of services usable by guests to order goods, it is also used by operators to monitor and control robots, goods database, or customer orders and buildings to communicate with their management systems.

The Trainee will be in charge of improving the product- Servie by adding features such as:

• Online payment options
• Database management through dedicated UI
• Interface robot commands and status
• Develop predictive maintenance based of KPIs, 5) Automate deployment process in the cloud
• Interface with 3rd party SW, such as Hotel management systems

The Trainee will have to develop using flutter framework, be familiar with REST APIs and be hands-on in manipulating and configuring the robots. They will also interface with different robot providers to define the next generation of APIs to be opened to allow Servie to further develop for commercialisation.

BioMetallica is a sustainable manufacturing Deep Tech startup that utilises synthetic biology to recycle precious metals from various waste sources, including electronic waste, spent autocatalysts, mine tailings, and lithium-ion battery waste.

Project role: Biohydrometallurgy Process Optimisation for Precious Metals with Enhanced Metal Selectivity

The goal is to create a circular economy where valuable resources are recovered and reused, minimising waste and reducing the environmental impact of metal production. BioMetallica aims to address the inefficiency and environmental harm associated with conventional metal recycling processes.

As a research engineer with BioMetallica, the Trainee's responsibilities will include but are not limited to:

1. Designing, developing and optimising chemical processes for extracting and recovering precious metals from electronic waste and other feedstocks.
2. Conducting experiments and simulations to improve the efficiency and scalability of metal recovery processes.
3. Applying chemical engineering principles to design and implement efficient and sustainable processes for metal separation and purification.
4. Developing and refining chemical pre-treatment methods to enhance metal selectivity and purity.
5. Analyse data from pilot tests to identify potential issues and areas for improvement.
6. Working closely with the R&D team to transition successful pilot processes to commercial production.
7. Developing standard operating procedures (SOPs) for all chemical and biological processes of the metal cyano complexes.
8. Monitoring process parameters and making adjustments as necessary to maintain optimal performance.
9. Implementation of innovative solutions to improve process efficiency and reduce costs.
10. Participation in ongoing research and development projects to advance BioMetallica’s technological capabilities in bioextraction.

Blue Silo helps enterprise customers in Southeast Asia build customised digital solutions that accelerate business growth and enable faster scaling. They understand that every business is unique and work closely with clients to create tailored Digital Twin solutions.

Their team of experts has extensive experience in developing and implementing digital solutions across a range of industries and leverages the latest technologies to ensure that their clients stay ahead of the competition.

Whether you need a comprehensive digital transformation or targeted solutions for specific areas of your enterprise, Blue Silo has the expertise and experience to deliver results that drive business success.

Project Role: Unreal Engine Engineer (Focusing on UE blueprint and development work)

Blue Silo is embarking on an innovative project aimed at leveraging the power of Unreal Engine to develop cutting-edge applications for smart cities (e.g. IoT Enabled Digital Twin). This project will focus on creating interactive and immersive simulations to enhance urban planning, infrastructure management, and citizen engagement. By utilising Unreal Engine's advanced visualisation and blueprint capabilities, Blue Silo aims to bring smart city concepts to life, providing stakeholders with powerful tools to make informed decisions and improve the quality of urban living.

As an Unreal Engine Engineer, the trainee will be crucial in developing and implementing interactive and visually compelling applications tailored for smart cities. The primary objective will be to harness Unreal Engine's blueprint system to create scalable, maintainable, and high-performance solutions that address the needs of urban planners, government officials, and citizens. Responsibilities include but are not limited to:

1. Blueprint Development: Design, implement, and optimise blueprints to create interactive simulations and visualisations for various smart city applications.
2. Collaborate with Stakeholders: Work closely with urban planners, city officials, and other stakeholders to gather requirements and translate them into functional and visually appealing features.
3. Integration and Testing: Integrate various data sources, IoT devices, and third-party APIs into Unreal Engine to ensure real-time data visualisation and interactivity.
4. Performance Optimisation: Ensure high performance and responsiveness of applications by optimizing blueprints and other assets within Unreal Engine.
5. User Interface Design: Develop user-friendly interfaces and control schemes to ensure accessibility and ease of use for all stakeholders.
6. Documentation and Training: Create comprehensive documentation and provide training sessions to stakeholders and team members on the use and maintenance of developed applications.
7. Continuous Improvement: Stay updated with the latest advancements in Unreal Engine and smart city technologies, and incorporate best practices to continuously improve the applications.

Carecam is a digital health startup specialising in AI-enabled screening tools, revolutionising the healthcare industry by providing precise and accessible solutions for musculoskeletal, neurological, and cardiovascular assessments.

Project Role: AI Engineer (3D Gait)

The 3DGait project represents a cutting-edge initiative aimed at revolutionising the assessment and understanding of human mobility through the integration of state-of-the-art technology. Leveraging the power of AI and computer vision, this project seeks to develop Software as a Medical Device (SaMD) deployed on an iPad that can analyse and interpret 3D gait patterns.

The project aims to improve precision and efficiency in gait analysis and enhanced patient engagement by leveraging advancements in NLP.

Trainee's responsibilities include but are not limited to:

1. Continuous Testing, Integration, and Deployment for the entire 3D Gait System.
2. Integration of Conversational AI e.g. ChatGPT or Whisper.
3. Algorithm Development for 3D Gait Analysis using computer vision techniques.
4. Utilise AWS for model training, optimisation, and deployment.
5. Design and develop the Software as a Medical Device (SaMD) application with real-time data processing and visualisation features for the iPad platform.

Castomize uses advanced manufacturing techniques combined with artificial intelligence to change how we create and interact with physical objects, positively impacting multiple industries such as healthcare, manufacturing, and the environment.

Their first product is a series of novel 4D-printed orthopedic casts which are more comfortable and convenient for patients, easier and more accurate for doctors and nurses to apply, and more environmentally sustainable. With its advantages, the casts are well-positioned to be the new global standard of orthopedic casting.

Project role: Materials Engineer (4D-printing)

The Trainee will work closely with senior leadership to take ownership of creating meaningful products. From day one, the Trainee will immediately impact our product strategy and direction.

Key Responsibilities:

1. Research and develop smart materials suitable for 4D-printing suitable for different industries such as med-tech, urban environments, etc.
2. Understand fundamental structure-property relationship for polymers and explore different types of chemistry to achieve the desired properties
3. Utilise Design of Experiments to find optimal formulations to meet material product requirements
4. Collaborate with cross-functional teams to define project requirements and specifications for medical devices
5. Develop prototypes and conduct experiments to validate and refine material properties optimising performance and efficiency
6. Integrate and test new materials with evolving designs and other supporting components, troubleshooting and resolving any technical issues that arise
7. Conduct feasibility studies and cost analysis for new advanced material technologies and components
8. Document design processes, experiments, and results thoroughly, maintaining clear and organised records
9. Keep track of raw material usage and forecast future needs
10. Ensure compliance with safety standards and best practices during all stages of materials development

Castomize uses advanced manufacturing techniques combined with artificial intelligence to change how we create and interact with physical objects, positively impacting multiple industries such as healthcare, manufacturing, and the environment.

Their first product is a series of novel 4D-printed orthopedic casts which are more comfortable and convenient for patients, easier and more accurate for doctors and nurses to apply, and more environmentally sustainable. With its advantages, the casts are well-positioned to be the new global standard of orthopedic casting.

Project role: Mechanical Engineer (4D-printing)

The Trainee will work closely with senior leadership to take ownership of creating meaningful products. From day one, the Trainee will have an immediate impact on our product strategy and direction.

Key Responsibilities

1. Design, model, and simulate smart material structures systems that integrate 4D-printing materials and complex geometries for medical device applications
2. Collaborate with cross-functional teams to define project requirements and specifications for medical devices
3. Develop prototypes and conduct experiments to validate and refine designs, optimising performance and efficiency
4. Integrate and test designs, materials, and other supporting components, troubleshooting and resolving any technical issues that arise
5. Conduct feasibility studies and cost analysis for new advanced manufacturing technologies and components
6. Document design processes, experiments, and results thoroughly, maintaining clear and organised records
7. Keep track of raw material usage and forecast future needs
8. Ensure compliance with safety standards and best practices during all stages of product development

Cloudsine is a cloud technology company specialising in cloud adoption, security and innovation. Cloud will be one of the most significant technology shifts organisations will encounter in the next few years. Hence Cloudsine aims to be the trusted partner to help customers build new capabilities and business opportunities for the digital future. Since 2012, cloud, security and innovation have been the DNA of their team.

They have built cloud systems to support numerous large enterprise and government customers across APAC countries, including Singapore, Australia, Philippines, India, Indonesia, Hong Kong, etc. Their cloud experience includes web applications, content delivery, WAF, encryption, logs, analytics, containers, serverless architecture, deep learning, storage and archival, etc. In addition, they have their own Intellectual Property and tools (eg. WebOrion security suite) to complement existing public cloud tools to help customers strengthen their cloud security.

Project role: AI Security Engineer (Project Rhythm)

This is an experimental project where Cloudsine explores various latest AI technologies such as ChatGPT, Large Language Models (LLMs), etc. and explore various attack vectors and ways to secure them. Project Rhythm aims to provide assurance and privacy to organisations concerned about the privacy, confidentiality and integrity of AI services. Trainees will use Jupyter notebooks, Pytorch, Tensorflow and run some of the AI models in AWS cloud or via API calls.

The project could also expand into looking at implementing LLMs on edge devices and test out the feasibility, performance and security of these devices. Trainees are expected to be very hands-on and be responsible for researching the latest AI models, e.g. the LLM, Llama2, ChatGPT, and their potential security vulnerabilities. They will also develop demos and prototypes to showcase security vulnerabilities, e.g. prompt injection attacks, and test and implement POC solutions to address the above security vulnerabilities, which can be built on Bootstrap, Python, Flask, etc., on AWS. Proficiency in Python, Pytorch or Tensorflow will be required.

Cloudsine is a cloud technology company specialising in cloud adoption, security and innovation. Cloud will be one of the most significant technology shifts organisations will encounter in the next few years. Hence Cloudsine aims to be the trusted partner to help customers build new capabilities and business opportunities for the digital future. Since 2012, cloud, security and innovation have been the DNA of their team.

They have built cloud systems to support numerous large enterprise and government customers across APAC countries, including Singapore, Australia, Philippines, India, Indonesia, Hong Kong, etc. Their cloud experience includes web applications, content delivery, WAF, encryption, logs, analytics, containers, serverless architecture, deep learning, storage and archival, etc. In addition, they have their own Intellectual Property and tools (eg. WebOrion security suite) to complement existing public cloud tools to help customers strengthen their cloud security.

Project role: Cloud Security Engineer (Project Star)

Cloudsine's flagship product, WebOrion is a web defacement monitoring service. As the industry becomes more security conscious, customers expect them to have various security-related certifications.

This project aims to help the company achieve and maintain certifications (e.g. CSA Star and ISO27001) as a whole company. As part of the project, Trainees will be involved in planning risk management and incident handling processes, policy development, performing internal security assessments, vulnerability scannings and helping improve the architecture of their production network running on Amazon Web Services (AWS) in terms of security.

At the end of the project, the Trainee will be highly familiar with common AWS services such as EC2, EBS, Security Groups, AWS Security Hub, etc.

Cloudsine is a cloud technology company specialising in cloud adoption, security and innovation. Cloud will be one of the most significant technology shifts organisations will encounter in the next few years.

Hence Cloudsine aims to be the trusted partner to help customers build new capabilities and business opportunities for the digital future.

Since 2012, cloud, security and innovation have been the DNA of their team. They have built cloud systems to support numerous large enterprise and government customers across APAC countries, including Singapore, Australia, Philippines, India, Indonesia, Hong Kong, etc.

Their cloud experience includes web applications, content delivery, WAF, encryption, logs, analytics, containers, serverless architecture, deep learning, storage and archival, etc. In addition, they have their own Intellectual Property and tools (eg. WebOrion security suite) to complement existing public cloud tools to help customers strengthen their cloud security.

Project role: Technical Product Manager (Cloud Security)

This project will involve creating a technical roadmap and prototype to provide next-generation platform for securing data and web application assets in public clouds such as AWS, Azure, Google, etc.

Research is required into key technical features and customer pain points. There will be an emphasis on security posture management and real-time detection and response in the cloud environments.

The use cases can be to detect ransomware in the cloud, provide a data map and lineage, come with security rules/alerts for exfiltration of data, compliance with PCI-DSS, GDPR, ISO27001, etc.

The Trainee's responsibilities:

1. Research into the problems and pain points of data and web applications in the cloud. Eg. many data breaches happened due to misconfiguration in the cloud
2. Deriving a technical product strategy and roadmap
3. Creating the technical prototype
4. Conducting technical proof-of-concepts with various early adopter customers

CyberXCenter's mission is to build national cybersecurity capabilities for Operational Technology (OT). Their goal is to safeguard national infrastructure by investing in strategic platforms through our Cyber Excellence Center, leveraging world-class technology to develop top-tier capabilities. CyberXCenter collaborates with the government and unites like-minded industry experts to do so.

Their setup allows companies to conduct cyber exercises and Red Team/Blue Team exercises internally. Red Teams consist of offensive security professionals who specialise in attacking systems and penetrating defenses, often working in conjunction with their training to teach users how to identify and exploit vulnerabilities in OT systems. Blue Teams are defensive security professionals tasked with maintaining internal network defences against all cyber threats. Their training helps Blue Teams refine their methodologies for defending OT systems effectively.

Project role: Junior Cybersecurity Researcher

The objective of this project is to be part of the team to understand the attack vector of 5G, and to maintain the testbed invested by MINDEF. The Junior Cyber Security Researcher is responsible for conducting research and development in the field of cybersecurity, focusing on identifying, analysing, and mitigating cyber threats. The environment will be an invested testbed by DIS (Digital and Intelligence Service) which is MINDEF's fourth service.

The role involves working in a university environment to test and enhance security protocols, technologies, and systems.

RESEARCHER DUTIES

Research and Analysis:

• Conduct thorough research on emerging cyber threats, attack vectors, and vulnerabilities.
• Analyse malware, exploits, and other malicious activities to understand their behavior and impact.
• Stay updated with the latest cybersecurity trends, tools, and techniques.

Security Testing and Evaluation:

• Perform penetration testing, vulnerability assessments, and security audits on systems, networks, and applications.
• Develop and implement test plans, methodologies, and tools to evaluate the effectiveness of security measures.
• Collaborate with IT and development teams to address identified vulnerabilities.

Maintenance of TestBed:

• Maintenance of the testbed including the design of the interconnectivity of the lab.
• Managing the backup and restoration process.
• Testing of the health status of the equipment.

Development of Security Solutions:

• Design and develop innovative security solutions and technologies to protect against cyber threats.
• Create proof-of-concept models and prototypes to demonstrate the feasibility of new security approaches.
• Contribute to the development and refinement of security policies, standards, and best practices.

Continuous Improvement:

• Identify opportunities for improving the cybersecurity lab's processes, tools, and capabilities.
• Participate in professional development activities, such as conferences, workshops, and certifications, to enhance expertise.
• Contribute to the organisation's knowledge base by documenting research findings, methodologies, and best practices.

POTENTIAL TRAINING DUTIES

• Conduct training for technical staff, management and end-users and share real – world scenarios and simulations to enhance practical understanding and application of cybersecurity concepts.

DiMuto is an emerging Agri Fintech company based in Singapore, dedicated to simplifying every aspect of global AgriFood trade.Dimuto's AgriFood Trade Solutions streamline the journey from produce to trade to market, empowering growers, exporters, and importers to trade efficiently with enhanced visibility and finance.

Project role: Computer Vision Engineer (AI & IoT)

The goal is to refine its design, optimise the manufacturing process, and collaborate with Dimuto's technical team to deploy AI for real-time image analysis at customer sites.
The Trainee will be responsible for:

• Device Design and Manufacturing: Collaborate on refining the design of DACKY for improved functionality and user experience. Optimise the deployment process to enhance efficiency and scalability.
• AI Integration and Computer Vision: Work closely with the technical team to deploy AI algorithms for real-time image analysis on DACKY devices. Implement computer vision technologies to enhance data extraction and processing capabilities.
• Multi-Purpose Adaptation: Assess customer requirements and operational demands to make DACKY more versatile and adaptable. Integrate just-in-time printing capabilities and other features to meet evolving needs.
• Quality AI Integration and Scalability: Collaborate on integrating product Quality AI into DACKY devices. Develop strategies to make the Quality AI scalable for broader industry applications.

The Trainee will be required to:

• Work with cross-functional teams to conceptualise, detail design and deploy Digitisation Solutions (Software & Hardware) for customers.
• Integrate vision devices (cameras, 2D scanners) and industrial weighing solutions to windows-based devices.
• Conduct prototyping and software integrations of RFID readers to ensure compatibility with our digital platform.
• Come up with BOMs, user manuals, test plans, deployment plans.
• Oversee the inventory management of parts at the headquarters and ensure seamless tracking of inventory at remote offices.

Enlipsium is a manufacturer of Medical and Industrial products and solutions. Started as a Deep Tech spin-off from the National University of Singapore, the company's core strengths are material science and chemicals. Their portfolio of products includes Luminescence Materials, Medical Imaging, High Energy Dosimetry and Specialty Chemicals.

Project Role: Materials Engineer

The Trainee will be working on the project to scale up the manufacturing of Enlipsium's dosimetry film, so the product will be commercially ready by the end of 2024. Main Objectives and Responsibilities:

• Be involved in managing the production line, rectifying technical issues with OEM production engineers, transferring of technology/processes from lab to production. As well as to ensure production is ISO13485 ready, with extensive testing and reliable QC/QA protocols in place.

Task and Duties (but are not limited to):

• Production Management: Oversee the end-to-end production process of radiation therapy films.
• Cross-Cultural Teamwork: The production line will likely be in China, and the candidate will need proficiency in Chinese and understand the dynamics of working in China.
• Quality Assurance: Develop and refine quality assurance protocols to enhance product reliability.
• Process Improvement: Identify opportunities for process optimisation and efficiency improvements in the production workflow.
• Resource Management: Procure and maintain equipment, materials, and resources necessary for production.

Exabloom is an AI-enabled leads management software that assists high-ticket B2C companies generating revenue between $1 million and $50 million in converting more leads into sales. The platform specialises in managing the entire leads pipeline and sales funnel, offering omnichannel solutions.

These solutions encompass lead capture, automated chat responses for leads, lead conversion, follow-up processes, and reactivating dormant leads. High-ticket B2C brands are the primary clientele leveraging Exabloom to enhance their lead conversion rates across platforms such as WhatsApp, WeChat, Instagram DMs, and Facebook Messenger.

Project role: AI-enabled customer communication platform

Exabloom is currently seeking to hire a software engineer/full-stack developer. The project's goal is to develop an AI-enabled omni-channel customer communication platform. This platform aims to enable businesses to streamline their communication processes with their customers. It allows businesses to centralise their communication across various social media channels onto a single platform. Additionally, it facilitates the use of AI chatbots and assistants to enhance and support their communication operations.

Trainee's responsibilities include but are not limited to:

• Develop web application prototypes, new technologies and products.
• Build highly responsive and scalable web applications with interfaces to backend database.
• Build fully functional testable backend RESTful APIs with interfaces to backend database.
• Build interfaces to exchange data between various third-party systems.
• Troubleshoot and debug to optimise performance.
• Provide support and maintenance of existing software web application projects.
• Work with fellow software engineers to coordinate the development effort to achieve a full functioning solution.
• Work with product manager to develop test scenarios to ensure full functionality of system before UAT.

Fabrica.ai specialises in developing automatic tile grouting robots, which are currently being piloted on construction sites in Singapore under the management of Woh Hup, BHCC, and Gin Chia. Their success extends beyond Singapore, as they have already gained early traction in the United States and Europe.

Project role: Autonomous Tile Grouting Robots for Boosting Construction Productivity

The traineeship offers an exciting opportunity to take robots from initial designs to real-world industry trials. Remuneration for Trainees may combine salary and share options.

Various tracks are available, and Trainees will have the chance to work on a couple of them, tailored to their preferences:

1. Mechanical experiments and design.
2. Mechanical manufacturing, assembly, and testing, encompassing 3D printing, angle grinding, drilling, assembly, and testing.
3. Electrical experiments and design.
4. Electrical assembly, involving soldering Printed Circuit Boards, power cables, and crimping cables.
5. Arduino programming.
6. Robotics DevOps & Real World Industry Trials, which includes operating the ROS2 stack, establishing reproducible testing methodologies, overseeing robots on-site, and exploring innovative parts/materials for enhancements.

Fabrica.ai specialises in developing automatic tile grouting robots, which are currently being piloted on construction sites in Singapore under the management of Woh Hup, BHCC, and Gin Chia. Their success extends beyond Singapore, as they have already gained early traction in the United States and Europe.

Project role: Electrical Engineer (Autonomous Tile Grouting Robot)

From August to December 2023, Fabrica will work on building reproducible and reliable PCBs for their robot. Part of that for electronics design and assembly is to design for easy debugging and replacing parts. This would include creating a simple user interface that could generate error codes.

The Trainee would also be involved in the initial electronics design and assembly for Fabrica's new robots and potentially integrating Fabrica's tech stacks on existing robots.

Core responsibilities:

1) PCB, electronics design

• Working with both hobbyist and industrial microcontrollers, single board computers, motor drivers etc.
• Integrating motor systems of different types (DC, BLDC, with encoder feedback…), sensor modules etc.
• PCB design

2) Embedded programming Possible additional responsibilities:

• Testing the robot on construction sites.
• Managing external PCB production.
• Harness design.

A one-stop portal for custom manufacturing in Southeast Asia.

Amid the 2020 pandemic, Factorem emerged as a trailblazing solution. They have pioneered a proprietary AI platform connecting innovators with trusted suppliers for on-demand custom parts, without any MOQ restrictions.

Their clientele spans diverse sectors, including Industrial Automation, Robotics, Automotive, Biomedical, and Aviation, all demanding precision parts. With a roster of over 100 rigorously vetted partner factories and a remarkable >95% quote accuracy, Factorem is the global go-to for manufacturing services.

Backed by SEEDS Capital and NUS Enterprise, they are now searching for dynamic team members to propel Factorem's growth.

Project role: Algorithm Engineer

The Trainee will join a team of like-minded, fun & creative individuals transforming a traditional space. They can expect to interact directly with experts from other domains (Engineering, Product, Business Development, etc).

The Trainee will also have opportunities to engage with internal and external stakeholders in mobilising change and drive commercial success in a fast-paced startup environment.

Trainee's Mission:

• Algorithm development focused around: Machine Learning (ML), Geometrical Computation, Computer Vision.
• Own and develop intelligent algorithms capable of learning, analysing and predicting the outcomes required by the various Factorem’s R&D pillars.
• Compile and tabulate numeric data to be used in re-training of Factorem’s R&D pillars.
• Convert algorithms into APIs with which the Factorem Platform may interact.
• Perform user testing and validation to ensure relevance and usability of technologies.
• Present learnings and automation ideas to the team.

A one-stop portal for custom manufacturing in Southeast Asia. Amid the 2020 pandemic, Factorem emerged as a trailblazing solution. They have pioneered a proprietary AI platform connecting innovators with trusted suppliers for on-demand custom parts, without any MOQ restrictions.

Their clientele spans diverse sectors, including Industrial Automation, Robotics, Automotive, Biomedical, and Aviation, all demanding precision parts. With a roster of over 100 rigorously vetted partner factories and a remarkable >95% quote accuracy, Factorem is the global go-to for manufacturing services.

Backed by SEEDS Capital and NUS Enterprise, they are now searching for dynamic team members to propel Factorem's growth.

Project role: Application Engineer (Hardware and Innovation)

Factorem is looking for an independent go-getter passionate about delivering impactful solutions to our users and problem-solving in both technical and non-technical aspects. Given the lean team, the Trainee can expect to interact directly with experts from other domains (Engineering, Product, Business Development, etc).

The Trainee will play a key role in streamlining engineering operations and establishing scalable processes to create the next groundbreaking solution for the future of manufacturing parts.

Responsibilities:

• Part verification, drawing generation and providing technical support to Factorem’s customers.
• Understand intricacies of 3D/2D design files and how they translate to fabrication for various technologies ranging from CNC Machining, Sheet Metal Fabrication and 3D Printing.
• Continually work to improve and streamline company operations and processes.
• Manage and execute the end-to-end order fulfilment process, including presentations, negotiation and deal closure with assigned client accounts.
• Perform on-site visit with clients to deeply understand their needs and identify the most optimal solution for customers, to encourage repeat business.
• Perform on-site visits with manufacturing partners to communicate technical specifications, ensuring project quality and on-time delivery.
• Assist in R&D activities to enhance system intelligence via technical validation and data contributions.

A one-stop portal for custom manufacturing in Southeast Asia.

Amid the 2020 pandemic, Factorem emerged as a trailblazing solution. They have pioneered a proprietary AI platform connecting innovators with trusted suppliers for on-demand custom parts, without any MOQ restrictions.

Their clientele spans diverse sectors, including Industrial Automation, Robotics, Automotive, Biomedical, and Aviation, all demanding precision parts. With a roster of over 100 rigorously vetted partner factories and a remarkable >95% quote accuracy, Factorem is the global go-to for manufacturing services.

Backed by SEEDS Capital and NUS Enterprise, they are now searching for dynamic team members to propel Factorem's growth.

Project role: Junior Software Developer

Factorem is seeking an independent go-getter passionate about continuously improving processes and working with various stakeholders to create robust software solutions.

The Trainee will join a team of like-minded, fun & creative individuals transforming a traditional space.

The Trainee can expect to interact directly with experts from other domains (Engineering, Product, Business Development, etc). They will also have opportunities to engage with internal and external stakeholders in mobilising change and drive commercial success in a fast-paced startup environment.

Trainee's Mission:

• Design, develop and deliver new and existing product features for the Factorem web application.
• Write high-quality, clean, maintainable code using engineering best practices.
• Assist in documentation of code and testing.
• Learn and become proficient in design and development tools.

Headquartered in Singapore, they specialise in cybersecurity solutions, focusing on securing digital assets for clients. Their mission is to help clients safeguard their digital resources. Operating not only in Singapore but also regionally, they cater to clients seeking their specialised skill set.

Project role: Cybersecurity Penetration Tester

Participating in vulnerability assessment and penetration testing provides an invaluable learning opportunity for Trainees interested in pursuing a career in cybersecurity.

The aims of vulnerability assessment and penetration testing are to:

• Improve the overall security posture of the organisation.
• Reduce the risk of data breaches and other security incidents.
• Enhance compliance with industry regulations.
• Build trust and confidence with customers and stakeholders.

Vulnerability assessment and penetration testing can help the Trainees to better understand the following:

• The different types of security vulnerabilities that can exist in IT systems and applications.
• How to identify and exploit vulnerabilities.
• How to develop and implement security controls to mitigate vulnerabilities.
• The different stages of a penetration test.
• The tools and techniques used in vulnerability assessment and penetration testing.

Roles and Responsbilities:

• Perform penetration testing & vulnerability assessment based on proven methodologies.
• Web application penetration testing.
• Mobile application penetration testing.
• Network penetration testing.
• Review security hardening review of infrastructure, common operating systems and servers.
• Perform source code review.

Galamad Aerospace leverages technological advancements to produce capable and cost-efficient satellites.

Project Role: Electronics Engineer (Spacecraft Attitude Determination and Control System)

Develop electronic systems for spacecraft, including satellites. This role unites hardware and software thus enabling you to interface with the physical environment and build models that map environmental inputs to physical actions in the environment. Our company will support your learning journey to achieve the tasks outlined below.

Trainee's responsibilities for this role include:

Hardware:

1. Building electronic circuits to control motors, magnetorquers and solenoid valves.
2. Embedding microcontrollers into the electronics circuit and programming the microcontroller to be able to communicate with the central satellite computer; this includes implementing interfaces such as UART, CAN, I2C, and SPI.
3. Building circuits for voltage conversion and current sensing.
4. Building circuitry to interface with sensors such as fine sun sensors, coarse sun sensors, magnetometers, GNSS receivers and gyroscopes.
5. Rigorous testing and verification of circuits.
6. Choosing the appropriate PCB fabrication class.

Software:

1. Programming micontrollers such as STM32-based or full Linux-based systems.
2. Developing and implementing sensor algorithms for data cleaning and processing.
3. Develop ML models, especially reinforcement learning models, for controlling the spacecraft.
4. Developing the ADCS application which controls the different attitude (pointing) modes of the spacecraft.

Galamad Aerospace leverages technological advancements to produce capable and cost-efficient satellites.

Project Role: Reinforcement Learning Engineer (Autonomous Satellite Navigation)

As a Reinforcement Learning Engineer at our satellite company, you will spearhead the development of advanced algorithms and models to enable satellites to navigate autonomously and intelligently in space. You will leverage state-of-the-art reinforcement learning techniques to train satellites to perform complex tasks, such as pointing to ground stations, adjusting their orbits, and optimising their trajectories, all while maximising mission objectives and efficiency.

Trainee's responsibilities include but are not limited to:

• Using existing ML frameworks to implement reinforcement learning algorithms and architectures tailored to the unique challenges of autonomous satellite navigation.
• Develop physics-rich simulation environments (with Earth, moon, satellites, etc) using tools such as Unity to model satellite dynamics, orbital mechanics, and environmental factors.
• Utilise Python, C++, and other relevant programming languages to implement and optimise reinforcement learning models for real-time satellite control.
• Collaborate closely with satellite engineers to integrate learning-based navigation systems into satellite hardware and onboard software.
• Conduct extensive experimentation and evaluation to validate the performance, robustness, and safety of autonomous navigation algorithms in simulated and real-world environments.
• Stay abreast of the latest advancements in reinforcement learning, machine learning, and space technology to drive innovation and push the boundaries of autonomous satellite navigation.

Galamad Aerospace leverages technological advancements to produce capable and cost-efficient satellites.

Project Role: Spacecraft Embedded Software Engineer

As an Embedded Software Engineer at our satellite company, you will be at the forefront of the space industry, playing a crucial role in designing, developing, and maintaining the embedded software that drives our satellite systems. You will work closely with a multidisciplinary team of engineers to implement advanced algorithms, interface with core peripherals, and ensure the reliability and performance of our satellite platforms.

Trainee's responsibilities include but are not limited to:

• Developing embedded software for satellite systems using STM32 MCUs and other ARM-based microprocessors.
• Implement and optimise algorithms critical for satellite operations, including but not limited to the solar position algorithm, geomagnetic field model, Ionosphere Reference model, Unscented Kalman Filter, and more.
• Interface with core peripherals such as UART, DMA, Timers, USB, and CAN to facilitate communication, data transfer, and control within the satellite system.
• Collaborate with hardware engineers to ensure seamless integration of software and hardware components.
• Conduct thorough testing and debugging to ensure the reliability, robustness, and performance of embedded software in the satellite environment.
• Stay up-to-date with the latest advancements in embedded systems, satellite technologies, and space exploration to contribute innovative solutions to our projects.

ImmunoScape discovers and develops a diverse, risk-balanced portfolio of novel TCRs against solid tumors.

Using a multi-faceted approach and deep technology know-how, we develop highly effective and differentiated TCR-based therapies for solid tumors.

Project role: Computational Biologist (Research Officer) in Immunology

This project will deal with the analysis of T-cell receptor (TCR) sequences and single-cell data.

Immunoscape's Deep Immunomics platform enables highly sensitive, large-scale mining and immune profiling of T cells in cancer patient samples to identify novel, therapeutically relevant TCRs across multiple solid tumors.

To deeply profile the immune system, they generate heterogenous high-dimensional datasets using a number of advanced technologies, including mass cytometry and next-generation sequencing. These single-cell datasets are the basis for all our data mining and machine learning approaches.

Introducing Outside, a Shift-Based Workforce Management Software.

On the platform, businesses can seamlessly schedule their shift workers, manage daily operations, review team member's competency, and consolidate timesheets while ensuring compliance with local regulations.
 

Shift workers can use the app to update their availability for upcoming schedules, clock in/out for their shift, report sick/late and check their earnings/payslips within the app.

Businesses in Singapore can also utilise Outside's freelance agent pool (15,000+ users) from Outside: Work on Demand App to effectively staff for their daily operations when required.

Project role: Shift-based Workforce Management Software

As a Software Engineer/Full Stack Developer with Inside Technologies, the Trainee will be working on customising a shift-based workforce management software for tourism enterprises to cut down time and resources spent on scheduling, managing operations, and maintaining employee databases while ensuring compliance for payments and contributions.

InsiderSecurity specialises in cybersecurity analytics and uniquely identifies and intercept cyber threats that often go undetected by traditional security measures such as firewalls and antivirus software.

Their flagship service is InsiderSecurity Monitor, which uses sophisticated, automated algorithms to look for cyber-attacks inside the network. The Monitor also helps users save thousands of hours in tedious security monitoring and analysis and provides penetration testing.

InsiderSecurity is also the first company to receive accreditation from IMDA for the User and Entity Behaviour Analytics technology. This is a testament to their innovative approach in safeguarding against cyber threats.

Project role: AI Engineer/ML Engineer (Cybersecurity)

The Trainee will tackle significant challenges while acquiring valuable expertise and insights. They will also receive mentorship from seasoned cybersecurity professionals who will guide them.

InsiderSecurity has a range of cutting-edge products:

• Automated User and entity behaviour analytics (UEBA) that find insider threats, hijacked accounts, and compromised servers.
• Cloud Security Monitor performs automated user behaviour analytics for your cloud accounts.
• Database activity monitoring that automatically discovers unusual activity in your database, without the need to write detection rules.
• And other upcoming products.

Key Responsibilities:

• Software development of innovative cybersecurity products.
• Work in an Agile team.
• Work on Backend, Frontend, Algorithms, DevOps, etc.
• Develop flowcharts, layouts and documentation to identify requirements and solutions.
• Write well-designed and testable code.

InsiderSecurity specialises in cybersecurity analytics and uniquely identifies and intercept cyber threats that often go undetected by traditional security measures such as firewalls and antivirus software.

Their flagship service is InsiderSecurity Monitor, which uses sophisticated, automated algorithms to look for cyber-attacks inside the network. The Monitor also helps users save thousands of hours in tedious security monitoring and analysis and provides penetration testing.

InsiderSecurity is also the first company to receive accreditation from IMDA for the User and Entity Behaviour Analytics technology. This is a testament to their innovative approach in safeguarding against cyber threats.

Project role: Cybersecurity Product Development

The Trainee will tackle significant challenges while acquiring valuable expertise and insights. They will also receive mentorship from seasoned cybersecurity professionals who will guide them.

InsiderSecurity has a range of cutting-edge products:

• Automated User and entity behaviour analytics (UEBA) that find insider threats, hijacked accounts, and compromised servers.
• Cloud Security Monitor performs automated user behaviour analytics for your cloud accounts.
• Database activity monitoring that automatically discovers unusual activity in your database, without the need to write detection rules.
• And other upcoming products.

Key Responsbilities:

• Product management of innovative cybersecurity products.
• Work in an Agile team.
• Product Vision, Roadmap and R&D.
• Product Market Growth.
• Product Delivery and Customer Success.
• Customer Feedback and Engagement.

IntentAI develops and trains human-like AI chatbots to understand and interact with people in the language of their choice using their patented INTNT engine.

They specialise in building and training hybrid generative AI bots, combining two or more AI algorithms to create a more sophisticated and versatile system for their customers. This allows IntentAI Enterprise GPT Bots to handle a broader range of queries, produce more natural responses, and perform transactions.

Project role: AI Software Developer (Project Gaia)

The Trainee's scope of work includes designing systems and pipelines for ML/AI applications, developing IaC (Infrastructure as Code) on Azure, AWS and GCP.

Trainee's responsibilities include but are not limited to:

1. Development, Maintenance, and Updates of AI Pipelines - Creating and managing systems that automate the processing, analysis, and application of data using artificial intelligence.
2. Application Programming Interfaces - Developing and maintaining APIs involves building frameworks that enable communication and interaction between different software applications.
3. Deployment to Cloud Infrastructure - Setting up and managing the deployment of AI systems on remote servers.
4. Cloud Infrastructure Monitoring and Performance Tuning - Ongoing monitoring and optimisation of cloud infrastructure, ensuring cloud systems perform efficiently and reliably.
5. Frontend Development - Creating accessible and user-friendly interfaces, allowing users to effectively engage and utilise AI applications.
6. Cross-Team Collaboration - Collaborating with internal and external parties to integrate diverse perspectives and expertise into AI projects.
7. Version Control and Documentation - Maintaining version control of both code and data to ensure reproducibility. Documenting the development process, the architecture, and the deployment strategies is also a key part of the role.

Invigilo Technologies is an AI and IoT driven company that enhance safety in high risk industrial environments. By placing cameras and sensors at various strategic locations around the worksite, Invigilo's software automatically identifies safety lapses and sends real-time alerts to relevant stakeholders to allow for early intervention and predictive enforcement. With this system in place, accidents can be prevented, saving lives and financial implications.

Project Role: AI Solutions Engineer

Invigilo AI is a leader in cutting-edge video analytics technology. We specialise in developing advanced solutions for various industries, leveraging state-of-the-art machine learning and computer vision techniques. Our mission is to transform raw video data into actionable insights to help enhance safety in high-risk industrial worksites. A large part of video analytics involves cameras and video processing which is an entire pipeline on its own.

This project revolves around software engineering needed to enhance this pipeline involved. With a robust and well engineered pipeline, our safety AI modules will work effectively, ensuring near misses and safety lapses in the industrial sites get picked up immediately for rectification and intervention.

Trainee's responsibilities include but are not limited to:

1. Developing and implementing Algorithms: designing and implementing algorithms for processing and analysing video data. Ensure that these algorithms are efficient, scalable, and robust.
2. Pipeline Development: Contribute to developing new video analytics pipelines, ensuring seamless integration and high performance.
3. Benchmarking and Optimisation: Conduct thorough benchmarking of existing video analytics pipelines. Identify performance bottlenecks and optimise the pipeline for improved efficiency and accuracy.
4. Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and product managers, to ensure alignment and successful project delivery.
5. Documentation and Reporting: Document the development process, algorithms, and benchmarking results. Provide detailed reports and recommendations based on your findings.

Mesh Bio is a provider of digital health services intended to transform chronic disease management through predictive analytics. The company's services automate health screening report generation, increase accuracy, helps to understand the implications of laboratory reports, and offer holistic patient assessment, enabling patients to manage their health, lifestyle and disease risks.

Project Role: Data Analytics Engineer

The Data Analytics Engineer is a product development position that collaborates closely across company functions to achieve Mesh Bio’s business objectives.

The Trainee will work closely with other developers and commercial staff to translate business objectives, product development strategies, customer requirements into the Mesh Bio’s products and services.

Scope:

• Work with databases containing healthcare data
• Structure, normalise, extract, transform, analyse, aggregate and visualise the data
• Implement data analysis and visualisation methods optimal for specific research and product development targets
• Profile and optimise database performance
• Implement and run machine learning algorithms
• Obtain, prepare and deploy datasets for machine learning
• As part of the Research and Development team, carry out statistical analysis, build and manage databases and their interfaces to carry out research activity in the field of human health
• Collaborate with the Product Development team to build scalable database architectures and interfaces to satisfy Product Requirements Specifications
• Prototype data analysis pipelines
• Prototype data storage and analysis architectures
• Develop production code while maintaining highest standards and practices of software development
• Implement and maintain systems and software architecture for data ingestion, storage, processing, and visualisation under ISO data security, medical device and HIPAA design controls
• Ensure that development is performed with clean, well-commented, and well-tested code that follows data governance policies
• Implement security methods for user and device authentication and authorisation, as well as robust encryption and other security mechanisms
• Provide development and production status updates to project leaders

Mesh Bio is a provider of digital health services intended to transform chronic disease management through predictive analytics. The company's services automate health screening report generation, increase accuracy, helps to understand the implications of laboratory reports, and offer holistic patient assessment, enabling patients to manage their health, lifestyle and disease risks.

Project Role: IT Security Manager

As the IT Security Manager, you will be the security expert, playing a crucial role to ensure Mesh Bio internal systems are not subjected to vulnerability and or threats.

Scope:

• Take ownership for the Information Security Management System (ISMS) and ensure that the ISMS is effectively implemented
• Build out the Information Security and IT infrastructure
• Oversee daily IT operations, evaluate and drive new processes
• Interface with Product Engineering and IT Operations to ensure appropriate systems are in place to achieve goals
• Ensure that all incidents are handled in a timely manner
• Ensure that all information security policies and procedures are kept up to date and is applicable to the organisation
• Ensure that the organisation is aware of the Information Security Policies and Procedures implemented
• Provide training/briefing for new employees on the organisation’s ISMS and the associated policies and procedures
• Participate in the internal and external audits of compliance to the security standards
• Draft and edit information security related documents
• Monitor national and global reports of information security threats, classify them and timely address the relevant issues

Mobbin’s mission is to empower the world to design great digital experiences. Mobbin prides itself as the Pinterest for UI & UX design. They are building a comprehensive, expert-curated library of interfaces from the best-in-class digital products that help product designers find relevant design inspiration and references with significantly less time and effort. Today, Mobbin is used by most design-forward companies and startups, including Duolingo, Revolut, Headspace, Work & Co, Blinkist, and more.

Project role: Software Engineer, New Platforms

The Trainee will work closely with Mobbin’s Machine Learning Engineers, UX Analysts and Software Engineers to drive key product decisions while balancing engineering and business needs. Responsibilities include but are not limited to:

1. Working on internal web-based ML tools. Think: Next.js app router, Supabase, TLDraw, etc.
   Trainees may have to read source code of these open-source projects to work around their issues.
2. Leveraging on readily available APIs (for example: OpenAI, AWS AI, etc) to speed up our ML lifecycle.
3. Writing algorithms to prioritise high-impact data for labelling.
4. Design and implement high-quality and reliable features that are scalable.

Momentum Z is a leader in delivering advanced cybersecurity solutions that empower businesses to protect their digital assets and maintain resilience against evolving cyber threats. Their team of experts is dedicated to providing top-tier security services to clients across various industries.

Project role: Cybersecurity Consultant

You will be part of a team that assesses, designs, and implements comprehensive security solutions tailored to our clients’ unique needs.

You will play a key role in protecting businesses from cyber threats by providing expert guidance and innovative security strategies.

Key Responsibilities:

1. Security Assessment: Conduct thorough security assessments to identify vulnerabilities and risks within client systems, applications, and networks.
2. Solution Design: Develop and design robust security architectures and frameworks that align with clients’ business objectives and industry best practices.
3. Implementation: Implement security solutions, including advanced technologies and protocols, to mitigate identified risks and protect sensitive data.
4. Compliance & Regulation: Ensure clients’ security measures comply with relevant regulations and standards, including PDPA, GDPR, ISO 27001, Cyber Essentials, Cyber Trust Mark, Data Protection Trust Mark and other industry-specific requirements.
5. Incident Response: Develop and implement incident response plans, providing clients with the tools and knowledge to respond effectively to security breaches.
6. Client Training: Conduct training sessions and workshops to educate clients on cybersecurity best practices and enhance their overall security posture.
7. Continuous Improvement: Stay updated on the latest cybersecurity trends, tools, and technologies, and continuously improve security processes and solutions offered by Momentum Z.
8. Reporting: Prepare detailed reports and documentation for clients, clearly articulating security findings, recommendations, and action plans.

Nanolumi is an advanced materials company that delivers breakthrough luminescent solutions for Product Authentication (Reyal™) and Bio-imaging. The company does this by harnessing cutting-edge nano / molecular chemistries and optical system to create, detect, and manipulate light.

The team’s expertise lies in identifying & optimising technical synergies, building comprehensive solutions through integrations & partnerships, and fostering supply chain collaborations to accelerate new technology adoption.

Nanolumi firmly believes that materials matter and play a pivotal role in empowering products that enable society to experience life to the fullest.

Project Role: Image Recognition and Machine Learning Application Development Engineer

The Image Recognition and Machine Learning Application Development Engineer typically involves a range of tasks related to developing, implementing, and optimising algorithms and systems for analysing and interpreting visual image data using machine learning techniques for anti-counterfeit authorisation in the smartphone platform. Day-to-day operation support and continuous improvement in the image recognition algorithm are also part of the job portfolio.

Trainee's responsibilities include but are not limited to:

• Algorithm and model development for image recognition and analysis.
• Large datasets of images collection and pre-processing for training machine learning models.
• Model training and evaluation and deep learning frameworks establishment. 
• Model optimisation and deployment to production environments such as cloud platforms, edge devices, or embedded systems.
• Feature engineering from images to improve model performance and interpretability.
• Understanding the specific anti-counterfeit application area where image recognition is being applied and tailoring algorithms and models accordingly.
• Model evaluation and validation by using appropriate metrics and validation techniques to ensure the accuracy, robustness, and reliability of the image recognition system.
• Model deployment and integration into production environments. Ensure seamless integration with existing infrastructure and maintain compatibility with different platforms and frameworks.
• Monitor the performance of deployed models and systems, and identifying and addressing challenges and limitations in existing algorithms or systems. Troubleshooting any issues or anomalies that arise, and debugging issues related to data quality, model performance, or system integration. Perform regular maintenance and updates to keep the system up-to-date and functioning optimally.

Nanolumi is an advanced materials company that delivers breakthrough luminescent solutions for Product Authentication (Reyal™) and Bio-imaging. The company does this by harnessing cutting-edge nano / molecular chemistries and optical system to create, detect, and manipulate light.

The team’s expertise lies in identifying & optimising technical synergies, building comprehensive solutions through integrations & partnerships, and fostering supply chain collaborations to accelerate new technology adoption.

Nanolumi firmly believes that materials matter and play a pivotal role in empowering products that enable society to experience life to the fullest.

Project Role: Smartphone Application and Cloud Development Engineer

The Smartphone Application and Cloud Development Engineer typically combines below key expertise to ensure the operation and continuous enhancement of smartphone applications, cloud database, and company website.

Trainee's responsibilities include but are not limited to:

• Smartphone Application Development: Design, develop, and maintain smartphone applications for iOS and Android platforms. Implement user interfaces, backend services, and application logic. Ensure device and OS compatibility.
• Data Analysis and Reporting: Analyse user data in the cloud database to derive insights for decision-making. Apply statistical analysis, data mining, and machine learning techniques to identify patterns, trends, and data correlations for reporting and action taking.
• Algorithm Development: Develop algorithms to optimise the company’s special applications. Design recommendation systems, predictive models, or other intelligent features based on user behaviour and preferences during deploring the company’s solutions.
• Cloud Database Management: Manage cloud-based databases daily operation. Configure and maintain databases on cloud platforms such as AWS, Azure, or Google Cloud to ensure scalability, reliability, and data integrity and security.
• Website Operation and Improvement: Maintain and update the company’s websites operation. Ensure website functionality, performance, and security. Implement new features, optimise code, and improve website performance based on user experience feedback and analytics.
• Quality Assurance and Testing: Conduct comprehensive testing of smartphone applications, cloud database, and company website to validate the functionality and reliability of the software.

NDR Medical Technology is an innovative company that develops surgical robotics known as Automated Needle Targeting (ANT) to assist surgeons during minimally invasive surgery. Driven by Artificial Intelligence and Medical Image Processing to automate the needle targeting procedure, improving the clinical outcome, reducing radiation exposure and overall operation time. ANT will ensure surgeons of all experiences to be able to perform complex and high-risk surgery with ease.

Project role: AI Empowered Medical Robotics and Software

The Trainee will develop, improve and trial AI empowered software and robotic medical procedure and intervention.

They will work with the team to do the following:

1. Develop and improve AI models and algorithms.
2. Develop and improve Vision Guided Algorithms.
3. Develop and improve Surgical Robotic System.
4. Documentation for medical device registration.
5. Participate and carry out demos and Clinical Trials.

Nika.eco is a climate tech firm on a mission to accelerate nature-positive outcomes by making carbon feasibility studies 4x faster than industry average. They empower clients to bolster their confidence in carbon investments through precise data, swiftly and effortlessly.

Project role: Software AI Engineer

The project will give the Trainee an opportunity to use AI to empower calculation of carbon biomass sequestration, forest change extents, biodiversity impacts and carbon footprint etc.

Nika.eco uses modern software architecture such as NextJS, OpenAI, TailwindCSS, Prisma, PostgreSQL, FastAPI, Docker, AWS, Google Cloud, Azure etc. Responsibilities include but are not limited to:

1. Building frontend or backend features such as caching or React component
2. Using GPT-4 turbo to power our apps
3. Running Spatial SQL, or other heavy backend related functions that GPT-4 turbo will instruct

"Phaos" is the Greek word for "Light". Phaos Technology is an advanced optics technology startup based in Singapore. Phaos Technology believes that optical-related technology is the key to improving the future. Hence the company focuses on research and development of advanced optical-related technologies and making them accessible to the mass market. 

The company uses advanced technology to make nanoscopic at a fraction of the cost of expensive microscopes. 

Phaos Technology’s microsphere-assisted technology, used in our OptoNano product range, uses a microsphere to upgrade the magnification of microscopes by up to 4X using miniature glass spheres, in a cost-efficient way. Using this patented technology, microscopes can be easily turned into nanoscopes by including these microspheres into the existing microscopes. This significantly increases the magnification of the objects that the microscopes are looking at, at an affordable price. 

Over the years, the company has evolved into a microscopy company that carries microscopy for super-resolution to microscopy for metrology purposes. Phaos Technology is also working on automating the system, including IoT, AI, and remote access through AR/VR.

Project role: Backend Software Engineer

Phaos Technology is looking for a C#/ C++ developer responsible for building C#/ C++ applications, including anything from back-end services to their client-end counterparts. 

The Trainees' primary responsibilities will be to design and develop these applications, and to coordinate with the rest of the team working on different infrastructure layers. 

The Trainee will be a quick learner, able to think and work independently or with contractors and team members. They will also be sensitive about dealing with documents and confidential information. 

The Trainee will work directly with the product head, assisting in managing the software design and development of all the products developed by the company or its contract manufacturer.

"Phaos" is the Greek word for “Light". Phaos Technology is an advanced optics technology startup based in Singapore. Phaos Technology believes that optical-related technology is the key to improving the future. Hence the company focuses on research and development of advanced optical-related technologies and making them accessible to the mass market. 

The company uses advanced technology to make nanoscopic at a fraction of the cost of expensive microscopes. 

Phaos Technology’s microsphere-assisted technology, used in our OptoNano product range, uses a microsphere to upgrade the magnification of microscopes by up to 4X using miniature glass spheres, in a cost-efficient way. Using this patented technology, microscopes can be easily turned into nanoscopes by including these microspheres into the existing microscopes. This significantly increases the magnification of the objects that the microscopes are looking at, at an affordable price. 

Over the years, the company has evolved into a microscopy company that carries microscopy for super-resolution to microscopy for metrology purposes. Phaos Technology is also working on automating the system, including IoT, AI, and remote access through AR/VR.

Project role: Front-End Development Engineer

Phaos Technology is looking for a front-end developer responsible for designing and developing User Interface in Windows Forms and WPF framework (C#), or MFC(C++), or HTML, CSS, JavaScript (Web Development). 

The Trainee will design and develop the required User Interface, and coordinate with the back-end software engineer to provide the solution for the connection of back-end and front-end. They will also maintain and continuously optimise User Interface, improve user experience and work efficiently. 

The Trainee will be a quick learner, able to think and work independently or with contractors and team members. They will also be sensitive about dealing with documents and confidential information. 

The Trainee will work directly with the product head, assisting in managing the software design and development of all the product developed by the company or the company's contract manufacturer.

Pints AI provides an on-premises plug-and-play AI solution tailored for financial institutions, ensuring the utmost confidentiality and secure handling of data. By merging the strengths of our proprietary large model with industry-specific features, our AI is pre-trained in financial knowledge and seamlessly integrates with our clients' sensitive data. We swiftly empower financial entities, from retail banks to fintech startups, enhancing their sales and operations for a competitive, secure advantage.

Project Role: Next-gen LLM Architecture AI Engineer

This project focuses on addressing the issues within the current transformer architecture, particularly the quadratic problem associated with the attention mechanism. In simpler terms, the current transformer architecture is not optimised, thus making it extremely resource intensive to use.

The solution involves researching alternative AI/ML techniques to replace the attention mechanism with a more efficient one. This unlocks a new realm of LLM capabilities, including the ability to develop smarter AI models, significantly reduce training time, the potential for ultra-fluid/highly adaptive models that can be fine-tuned instantly, and potentially even lay the groundwork for Artificial General Intelligence.

In terms of application, a next-gen LLM architecture could enable compact LLMs to run on standard office hardware or personal devices, unlocking a wide range of use cases and enhancing productivity.

In terms of sustainability, a next-gen LLM architecture would significantly reduce the environmental impact and carbon footprint.

Job Scope:

• Conduct research and experiment with potential AI architectures.
• Run experiments and create Proof-of-Concepts to validate findings.
• Build an architecture for data collection and creation to generate datasets for model training.
• Establish an AI engineering pipeline for the research, data collection, experimentation, and evaluation processes.
• Assist in writing research papers for publication.
• Monitor ongoing research within academia or the open-source community for the latest updates or breakthroughs.
• Develop relevant software for both backend or frontend as part of the AI product.

Pints AI provides an on-premises plug-and-play AI solution tailored for financial institutions, ensuring the utmost confidentiality and secure handling of data. By merging the strengths of our proprietary large model with industry-specific features, our AI is pre-trained in financial knowledge and seamlessly integrates with our clients' sensitive data. We swiftly empower financial entities, from retail banks to fintech startups, enhancing their sales and operations for a competitive, secure advantage.

Project Role: Next-gen LLM Architecture AI Researcher

This project focuses on addressing the issues within the current transformer architecture, particularly the quadratic problem associated with the attention mechanism. In simpler terms, the current transformer architecture is not optimised, thus making it extremely resource intensive to use.

The solution involves researching alternative AI/ML techniques to replace the attention mechanism with a more efficient one. This unlocks a new realm of LLM capabilities, including the ability to develop smarter AI models, significantly reduce training time, the potential for ultra-fluid/highly adaptive models that can be fine-tuned instantly, and potentially even lay the groundwork for Artificial General Intelligence.

In terms of application, a next-gen LLM architecture could enable compact LLMs to run on standard office hardware or personal devices, unlocking a wide range of use cases and enhancing productivity.

In terms of sustainability, a next-gen LLM architecture would significantly reduce the environmental impact and carbon footprint.

Job Scope:

• Conduct extensive research on possible AI architectures.
• Run experiments and create Proof-of-Concepts to validate findings.
• Collect data and create datasets necessary for model training.
• Develop an AI strategy and pipeline encompassing the necessary tasks and workflow, such as research, data collection, experimentation, and evaluation.
• Assist in writing research papers for publishing.
• Monitor ongoing research within academia or the open-source community for the latest updates or breakthroughs.

Rebee Health facilitates remote rehabilitation monitoring, enabling patients to track their progress from home while allowing healthcare practitioners to deliver personalised care efficiently.

Project role: Software Engineer / Data Analyst

Rebee Intelligence; a sophisticated platform designed to guide patients through their rehabilitation programs autonomously. By analysing individual progress, adherence levels, and self-reported data, Rebee Intelligence adjusts exercise regimens accordingly.

Objective: This role will develop and maintain software solutions that analyse and interpret complex data sets. It will involve designing and implementing data models, creating algorithms, and building data processing systems.

Tasks:

1. Design and implement data models and algorithms to process large data sets, incorporating machine learning and AI techniques.
2. Create and manage ETL (Extract, Transform, Load) processes to ensure data is collected and integrated efficiently.
3. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
4. Perform data cleaning, transformation, and validation to ensure data quality.
5. Create visualisations and reports to communicate findings and support decision-making processes.
6. Continuously monitor and improve data processing systems for performance and scalability.

Skills:

1. Proficiency in programming languages such as Python, Java etc.
2. Strong knowledge of SQL and experience with database management systems (e.g., MySQL, PostgreSQL).
3. Have experience developing the React framework with web development skills.
4. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS) is desirable.

SepPure is a Climate-tech company developing novel membrane materials and membrane processes for more sustainable chemical separations without the use of heat. SepPure is disrupting the energy-intensive chemical separation processes, such as distillation and evaporation, through the introduction of novel chemical-resistant nanofiltration membranes. With up to 15% of the world’s total energy spent on industrial-scale chemical separations, SepPure aims to reduce CO2 emissions by 500 million tonnes by 2030.

Project role: Manufacturing Engineer

SepPure is seeking a Manufacturing Engineer passionate about innovating in Hollow Fibre Membrane Production for Chemical Separations. This role suits the talent skilled in manufacturing, problem-solving, quality assurance, and process building. It involves tackling technical challenges, exploring membrane intricacies, and ensuring smooth day-to-day operations.

The Trainee would work on the following:

• Hollow Fibre Membrane Manufacturing
• Maintenance and Upkeep of Fibre Production Equipment and Auxiliary Systems
• Technical Problem Solving & Development
• Reporting

SpeQtral is commercialising quantum communications to prepare the world for the quantum future. Think quantum space lasers, entanglement, and military level secure communications.

As part of their mission to transform the world’s networks, they plan to launch a constellation of satellites to enable worldwide entanglement distribution (QKD). The earliest application of this is highly secure delivery of encryption keys to facilitate secret communications, using their upcoming pathfinder satellite and an optical ground station (OGS) currently under development in Singapore.

Project role: Mission Control Software Engineering for Quantum Satellite Programme

This project is about supporting the R&D of their optical ground station (OGS) for space-based QKD at SpeQtral, paving the way for new technologies to enable global quantum communications. This covers various software development tasks for operating the OGS hardware, plan and schedule OGS operations by developing automated software tools, and to configure and optimise a web-based GUI for controlling the OGS.

The Trainee will be part of the Mission's team and work closely with the OGS developers. The scope of work includes:

• Familiarisation with the basics of experimental OGSs for QKD and the necessary systems and quantum technologies.
• Familiarisation with the basics of software tools and architectures used (python, front-end/back-end design, RESTful web APIs, RabbitMQ, Grafana, GIT).
• Configuration of a website based front-end for controlling and monitoring the OGS.
• Tuning of the web GUI for optimal visibility of information and usability.
• Programming of RESTful API features within OGS control back-end (hardware-close).
• Operations scripts for automated pass planning/scheduling (e.g. Pass planning based on latest satellite telemetry).
• Implementation and test of software and hardware interfaces in python (Weather forecast, ADS-B Airplane position receiver, Opto-mechanical hardware).
• Analyse performance parameters and optimise individual tasks.
• Prepare documentation and guides to support the usage and operations of data systems and APIs supported and/or developed at SpeQtral.

Waffle Technologies is working to push the boundaries of how data and technology are being used in offline commerce. The team supports local offline businesses with their daily business operations so that they can focus on delivering the best customer experience.

Their Engineering Team works on problems such as building an offline-first network of applications and supporting a wide range of hardware device integrations.

Project role: Full-Stack Engineer (Mobile application, Point-of-sale)

The Trainee will implement and maintain a smooth offline payment flow with payment providers like Stripe. They will also implement and maintain communication protocols between multiple devices on the LAN and maintain a robust offline mode flow for the point-of-sale application.

The Trainee will also write and conduct robust automated tests to minimise customer downtime. Responsibilities will also include maintaining and refactoring the existing application to maintain a high developer velocity for new features. If required, the Trainee will also be involved in implementing new back-end endpoints.

Zaheen specialises in pioneering AI solutions to navigate the challenges of data scarcity. Utilising advanced multimodal AI technologies, Zaheen empowers enterprises to unlock powerful insights from limited data sets, driving significant business transformations. The team delivers cutting-edge projects, engaging with transformative AI technologies that have a real-world impact.

Project Role: AI Engineer (Agent Z)

Implementing AI is costly and time-consuming due to the extensive data collection and preparation required. Agent Z is a platform to simplify this by involving enterprise users to curate data and fine-tune AI models. Acting like a copilot, it guides non-technical users to develop AI agents for their specific needs. Users can upload data, describe it in plain English, and run tests, making the process as easy as hiring a consultant.

The Trainee will design and implement AI/ML systems developing AI pipelines, creating APIs, deploying to cloud platforms, and optimising cloud performance.

Responsibilities include but are not limited to:

1. Designing, managing, and updating automated AI data processing systems.
2. Creating user-friendly interfaces for AI applications.
3. Building and maintain APIs for seamless software interaction.
4. Deploying AI systems on Azure, AWS, and GCP.
5. Ensuring scalability and flexibility across platforms.
6. Monitoring and optimising cloud infrastructure for efficiency and reliability.
7. Maintaining code and data version control.
8. Documentation of development processes and deployment strategies.
9. Ensuring adherence to security standards and ethical guidelines.