Traditional web2 enterprises have a strong need for trusted, verifiable data but lack the resources and technical know-how to transform existing static data into verifiable data.​ Using the Web3 tech stack, Accredify empowers enterprises to issue Web3 compatible credentials and allows their recipients to have ownership of these trusted, verifiable credentials.​ Accredify has been working with enterprises to transform data into Web3 compatible data, resolving two main issues on manual processes and the inability for authenticity verification in their traditional workflows​.

This project is about building new features for Accredify's core products. You'll be able to work with experienced seniors across the company in a very fast-paced environment to produce end-to-end features that delivers clear value to the business. You need to be knowledgeable across the stack back-end, APIs, databases as well as how to quickly and safely develop, test, deploy and maintain these products.

Traditional web2 enterprises have a strong need for trusted, verifiable data but lack the resources and technical know-how to transform existing static data into verifiable data.​ Using the Web3 tech stack, Accredify empowers enterprises to issue Web3 compatible credentials and allows their recipients to have ownership of these trusted, verifiable credentials.​ Accredify has been working with enterprises to transform data into Web3 compatible data, resolving two main issues on manual processes and the inability for authenticity verification in their traditional workflows​.

This project is about building new features for Accredify's core products. You'll be able to work with experienced seniors across the company in a very fast-paced environment to produce end-to-end features that delivers clear value to the business. You need to be knowledgeable across the stack back-end, APIs, databases as well as how to quickly and safely develop, test, deploy and maintain these products.

Traditional web2 enterprises have a strong need for trusted, verifiable data but lack the resources and technical know-how to transform existing static data into verifiable data.​ Using the Web3 tech stack, Accredify empowers enterprises to issue Web3 compatible credentials and allows their recipients to have ownership of these trusted, verifiable credentials.​ Accredify has been working with enterprises to transform data into Web3 compatible data, resolving two main issues on manual processes and the inability for authenticity verification in their traditional workflows​.

This project is about building new user interfaces for Accredify's data contributor product. You'll be able to work with experienced seniors across the company in a very fast-paced environment. You will produce end-to-end design that delivers clear value to the business by tying appropriate research, UI, UX, and product strategy together effectively, resulting in easy to use, delightful, and memorable product experiences.

Traditional web2 enterprises have a strong need for trusted, verifiable data but lack the resources and technical know-how to transform existing static data into verifiable data.​ Using the Web3 tech stack, Accredify empowers enterprises to issue Web3 compatible credentials and allows their recipients to have ownership of these trusted, verifiable credentials.​ Accredify has been working with enterprises to transform data into Web3 compatible data, resolving two main issues on manual processes and the inability for authenticity verification in their traditional workflows​.

This project is about building new features for Accredify's core products. You'll be able to work with experienced seniors across the company in a very fast-paced environment to produce end-to-end features that delivers clear value to the business. You need to be knowledgeable across the stack back-end, APIs, databases as well as how to quickly and safely develop, test, deploy and maintain these products.

We are looking for a software engineering intern who would be helping us build the next generation of our data analytics platform. The selected candidate will have the opportunity to work on modern and latest web technologies to build the platform which will be used by many users and accessed across the globe in over 15 countries in 6 continents. The primary role of the candidate is to build a high-quality, innovative, and fully structural health monitoring platform that complies with industry coding standards and technical design. This person must be at ease working in an agile environment with little supervision and should embody a passion for continuous improvement and test-driven development.

The project will focus on developing productivity-driven insights for the construction site team purely through deep-learning computer vision techniques.

CCTVs are present at almost all construction sites and are mainly used for manual monitoring of progress or to review past footage if something goes wrong. It is still a huge challenge for companies to understand their progress on a macro level as it is hard to make sense of all the information from so many different subcontractors. This results in a lack of visibility of ongoing issues at the sites that can cause delays such as a delay in concreting works due to underutilisation of the assets that will delay the progress of building that floor or a subcontractor promising that he will send 10 workers to work on this area but in reality only sends 4. It's information like these that we will be focused on tracking through the already existing CCTVs at the sites to give the project team meaningful insights and information to understand progress and identify potential risks early on.

The project looks at how best to create a dashboard that provides A.I. prediction, event triggers and intuitive ways to display large-scale premises alerts at a glance and across multiple sites. There is a need for architecture input on data schema and the multi-platform view of the dashboard. There is also a need to segregate logical view and business logic, 2-3 tier approach with cybersecurity concerns addressed. The design of the dashboard also allows flexibility to change color themes, and essential labels.

As the first step, we are building and improving on a scalable data system in the cloud that integrates into our current experimental data management system and allows streamlining data storage and analysis. Next, this data system will be used to analyse and build workflows for data processing and to perform predictions.

In this project, the intern will work on building and improving Allozymes cloud-based system to streamline, store and run pipelines to process big genomic data and build tools to analyse, visualise and make predictions with data. The intern will be trained to implement a cloud system and automate data flows, store, process, and analyse genomics and experimental data. This project will require collaboration with the scientists and engineers in the company to achieve the proposed goals. The outcome of the project will enhance the performance of the Allozymes proprietary platform for engineering enzymes and microorganisms.

As an intern at ArmasTec you will be working in customer discovery using curiosity and empathy as key measures to gather qualitative and quantitative data that will be used to assess the efficacy in implementing the AireLevate for customer operations

You will be required to engage with clients to gather and synthesize market information, customer personas; desires per persona, technology trends, competitive research, and evolving customer requirements to identify product enhancements and other new and innovative opportunities for the platform/product.

You will also get a chance to collaborate with the Product Development and Sales team to use inquiry-based innovation methods to drive a vision for product/features.

Understanding and engaging product creators to effectively translate the technology vision and roadmap into product initiatives, including functional needs, supported use cases/workflow and success criteria will be another area of focus on the job.

BeeX manufactures Autonomous Marine Systems, i.e. self-driving cars in water. We do this to take humans out of dangerous working environments. Our technology reduces the cost and risks of keeping critical marine infrastructure (ports, reservoirs, vessels, floating solar farms, offshore wind farms) safe.

Marine is a traditional industry, and we are changing that with SambalOS, BeeX's Client Facing UI/UX designed for anyone to operate our vehicles, and from anywhere in the world.

As the Fullstack trainee, you will be working with the UI/UX team on rolling out new features from frontend to backend. As part of Sambal OS, BeeX is investing in algorithms to increasingly automate data processing to present post underwater inspection insights 3-5X faster than before.

Entarctic is in the business of providing energy savings for cold warehouses using phase change material (PCM). By increasing the thermal mass inside warehouses, Entarctic aims to enable better performance of HVAC, thereby leading to reduction in energy consumption.
As part of the business, Entarctic will need to monitor the warehouse conditions and understand the correlation between different variables.

There are already IoT sensors deployed but the team will require support in 

1. Interpreting the data and 
2. Ingest and store the data in an easily manageable way. 

The expected outcome of the project is to gain a deeper understanding of the key factors affecting operational performance while simultaneously create a structured backend to enable easy manipulation of data.

As a Software Engineer talent, you will take charge of the necessary software engineering work to deploy Eureka Controller to address specific industrial applications, as well as to improve Eureka’s in-house technologies.

Breast cancer is the most commonly occurring cancer among women in Singapore. Each year, over 2,000 women are diagnosed with breast cancer, and over 400 dies from the disease. Approximately 1 in 13 women will get breast cancer in their lifetime. Early Screening and detection are crucial for helping to detect these cancers at the early stage where the survival rate is significantly higher. However, current screening procedures have some deficiencies including about 15-20% of cases being false recalls which leads to unnecessary anxiety and 10% of cases being false negatives resulting in missed interval cancers and missed opportunity for early diagnostics and treatment. In addition, the existing screening procedure requires 2 readers in a double-blind reading setting and takes a significant amount of time.

FxMammo and FxTomo are AI Assistants that help to significantly increase the accuracy of breast cancer screening as it helps to reduce false positive rates, missed interval cancers and also enhance the screening procedure by cutting down the time taken by helping radiologists to make better judgement and increasing the capacity of radiologists to handle more work.

Hypotenuse AI is a platform that automates content writing using AI. We automatically generate product descriptions, advertising text and blog articles for businesses.

For businesses to quantify the improvement they get from Hypotenuse’ automatically generated content, they need to get data on:

1. How much faster to get content generated
2. How the content performs in terms of conversions

This project will cross between both frontend and backend, with exposure to the state-of-the-art in machine learning. On the backend, it will focus on building a framework that allows us to automatically switch out different variations of written text on the websites of businesses with the model's output so that different site visitors see different text. On the frontend, it requires a user-friendly interface as part of our platform for users to interact with the generated content and analyse results from it.

Hypotenuse AI is a platform that automates content writing using AI. We automatically generate product descriptions, advertising text and blog articles for businesses.

Currently, users who generate blog posts on our platform will add in their own researched information or company details, and our AI blog writer will write the article for them. However, they still need to pull together their own factual information that they want in the blog post (e.g. by Googling different sources, papers and piecing them together).

This project will involve designing a new UI/UX interface for users to research factual information on our platform, pulling in together cited information from various sources within our platform, and joining it together with what will be generated by our AI. It will also involve constantly iterating and test this with users to make continual improvements.

Behavioral health disorders – encompassing all neurological, psychiatric, substance use, psychosocial, and related mental diseases – are both widespread and burdensome. Although the healthcare industry records data, it is rarely collected in ways that are easily used, understood, or shared. At Holmusk, we are pioneering the shift to data-driven medicine by building products that collect, store, and analyse this data to optimise the treatment and management of these disorders. These products are designed with an emphasis on accessibility, value/impact, and data privacy. We do this by understanding user needs around the mental health space and provide information in a safe and easy to consume format.

This project will involve working with Figma and UserTesting.com to conduct research, analyse user interests & behaviour, and design healthcare applications. The talent will be directly involved in the development of product features, improving customer engagement and usability. This includes working on new features and refining existing features to ensure the services provided are relevant and scale well. It is an opportunity to understand user psychology and design meaningful products with high impact in the mental health space.

At Konigle, we are simplifying the process of running an e-commerce store for the sellers and defining how to run and grow a store profitably. We are doing this by creating a suite of various productivity tools, automation and shortcuts for various e-commerce platforms and store builders.

At a very high level, your work will help us drive more online sellers to use Konigle to grow their stores.

Eye care, in its current form, does not scale. There are too few eye doctors (3 eye doctors for every 100,000 people). Inadequate medical devices (too expensive, non-portable, complex to use). Eye care is inconvenient and time-consuming (appointment difficulties and infrastructure challenges)

Naturally, 2.2 billion people globally suffer from some form of vision impairment. Medios enables eye care to scale. Their medical devices are smartphone based (iOS), portable and affordable. They use in-house Machine Learning algorithms to automate some very complex eye examinations and to auto-diagnose patient conditions.

Medios’ technology has already prevented blindness in 7 million patients in 20+ countries; from rural screening programs in places such as India and Gambia, to primary care screening in Walmarts, to large university healthcare systems such as the University of Virginia, and Columbia University.

And they are not stopping here. They are continuing to expand their medical device to be even more user-friendly, and support the auto-diagnose of many more eye conditions. They are hiring to further expand the development of the software on their devices.

Medios technology has already prevented blindness in 7 million patients in 20+ countries; from rural screening programs in places such as India and Gambia, to primary care screening in Walmarts.

However, dealing with this scale requires medical devices to have a powerful back-end. The company’s back-end + web platform is responsible for holding all their devices together.

Their platform powers medical devices by providing authentication, data management (both health and user data), and custom workflow integrations with hospitals and clinics. It also provides diagnosis and tele-health capabilities. It is part of the data pipeline to use collected data to generate health insights and to build Machine Learning algorithms that can aid in clinical diagnosis, assess patient risks, and provide last-mile healthcare delivery. Extra attention is paid to ensure privacy and security of patient healthcare data.

Medios is hiring to improve their platform to support additional features on their medical devices, integrate newer medical devices, and to improve the data pipelines for further data engineering and analysis. They are also hiring to assist the migration of their backend from multiple legacy systems to a single new system.

Talent will be developing new and improving existing components and features of MicroSec’s LifeCycle Management System (LCMS), which is an IIoT and IoT-focused PKI and device management platform that allows end-to-end protection and monitoring of smart devices, for industries such as manufacturing, healthcare, automotive and smart cities/buildings.

He/She will be working in a field essential to rapidly growing smart cities and the world’s digital transformation. They will be part of an agile team spanning embedded, frontend, and backend systems and get opportunities to learn beyond their knowledge base.

Microtube Technologies develops smart wearables by sewing patented microfiber sensors into fabrics. The patented soft microfiber sensor is extremely thin and stretchable. It can be woven easily into fabrics to measure minute changes in strain, forces and pressure. Smart wearables are developed for multiple applications, such as gaming, healthcare training, IoT, and robotic control.

This project focuses on creating a novel wearable and corresponding mobile app for automated strength-training analysis for static workouts. The company seeks to overcome ambiguity in strength and endurance workouts with objective quantification of muscle efforts. They seek to create motivational content through gamification and in-depth fitness profiling of the user.

The talent will work with cross-functional teams (data science, software development and engineering) in data collection, processing, presentation and analysis of data from the wearables. The talent will employ different statistical methods for accurate fitness profiling and prediction modelling.

Microtube Technologies develops smart wearables by weaving patented threadlike sensors into fabrics. The patented soft microfiber sensor is extremely thin and stretchable. It can be woven easily into fabrics to measure minute changes in strain, forces and pressure. The smart wearables are developed for many applications, some examples are gaming, healthcare training, IoT, as well as robotic control.

This project focuses on creating a novel wearable and corresponding mobile app for automated strength-training analysis for static workouts. By using the solution, the company seeks to overcome ambiguity in strength and endurance workouts with objective quantification of muscle efforts, as well as creating motivational content through gamification and in-depth fitness profiling of the user.

The talent will work with the product design team to improve the current UI/UX designs of the strength-training wearable. This includes storyboarding how users interact with different interfaces such as the wearable product and the mobile app platform, improving existing UI/UX, UI graphics and animation aspect of the app.

In the clinic, blood or cell samples from the ground are taken with a glass slide and sent to the central hospital for scanning and analysis using AI software. For bigger countries like China and India, the live samples may be damaged during the transfer. The time & cost of transfer is also high. Phaos Technology aims to develop a low-cost glass slide scanner that is less than S$15,000 for clinics in remote areas. Once the clinics are empowered with the scanner, they scan the glass slide on the ground and send the digital images to the central hospital. There will be no more lost or damaged samples. This will cut down logistic issues and level up the accuracy of data analysis.

Therefore, we are looking to develop a user-friendly interface for our equipment for application projects. Candidates will be exposed to both frontend and backend programming. Frontend development in UI development. Backend development in functionality including control of machinery to acquire images followed by image processing. In general, we will face 2 problems for application-based development:

1. Look, feel and practicability of the UI. For example,

• What are the colour tones to use, icon shape, and organisation of the icon
• How to make the overall UI user-friendly

This requires knowledge in both design and engineering.

2. Understand end-user needs and develop tools to address the needs of customers in the best approach. There is always a gap between customers' wants against what programmers developed. Closing up the gap with constant communication with customers and understanding the full potential of what the tools can do is a challenge faced by ground programmers.

As a Full-Stack Developer, you will be responsible for designing and developing web-based platforms specifically tailored for Polybee’s precision agriculture services. 
The aim of this project is to develop and maintain Polybee’s web app for plant measurements, called Phenobee, in addition to designing and developing a web-based remote monitoring and control centre for Unmanned Aerial
Vehicles (UAVs). 

Candidates will be working closely with our talented sub-teams in several
interesting domains, be it robotics, horticulture, or computer vision. Through this position, you will build products that our users find pretty, efficient, and easy-to-use.

Polymerize is looking for a Product Designer to join Polymerize's Design team to support our Product team's ongoing effort to accelerate the growth of the company. As a Product Designer, you will collaborate across multiple functions to deliver prototypes and rapidly design solutions to solve user problems, as well as move the needle with our design system initiatives. This is a role that demands an appetite for leadership and a willingness for risk-taking, as we are intending to nurture you as a Product Designer to eventually helm the design team and lead UX direction in the organisation.

The role involves challenges at technical, architectural and workflow level where informed decisions must be taken considering scalability and efficiency for the product for the long run. It will be good if candidate have internship experience. We can convert to Full-Time after internship on performance basis.

Polymerize enables R&D scientists to reduce the trial & error in formulation development, with a complete product lifecycle management software that will enable companies to efficiently access/share data, maintain formulation workflow orders, applications recommendations, reporting and analytics.
We strongly vouch for flexibility, deep work and a balance of learning something you don't know while teaching something you really know for collective growth of the Team.

With the current process of polymer development, development scientists draw on their material knowledge to formulate new compound recipes, mix small batches on trial and test and then repeat the loop until the desired material properties are achieved resulting in countless development hours. Complex recipes can exceed more than a year for development.

Polymerize enables R&D scientists to reduce the trial & error in formulation development, with a complete product lifecycle management software that will enable companies to efficiently access/share data, maintain formulation workflow orders, applications recommendations, reporting and analytics.

This project will require the talent to work on the front-end technologies like React JS, Redux, HTML, CSS, Flux Design Patterns for our SAAS application. The web application will be implemented for internal projects and client facing deployments.

The project will have components of data rendering from back-end, responsive displays and extensive use of graph libraries implementations. We will need to have these modules built for the product components consisting of workflow management, reporting, analytics etc.

SpeQtral is looking for highly motivated individuals to join a team of space quantum pioneers at the office in Singapore. They are commercialising quantum communications to prepare the world for the quantum future. Think quantum space lasers, entanglement and military level secure communications. As part of our mission to transform the world’s networks they plan to launch a constellation of satellites to enable worldwide entanglement distribution. The earliest application is the highly secure delivery of encryption keys to facilitate secret communications, using our upcoming pathfinder satellite and an optical ground station (OGS) currently under development in Singapore.

This project is about supporting the R&D of their 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, planning and scheduling OGS operations by developing automated software tools, and configuring and optimising a web-based GUI for controlling the OGS. Detailed tasks could be defined based on the interests and capabilities of the talent.

SpeQtral is commercialising quantum communications to prepare the world for the quantum future. One of the immediate applications of quantum networks is the secure distribution of quantum bits to generate secret encryption keys at distant locations. The underlying quantum processes, namely the generation and detection of single photons and/or entangled photon-pairs are in principle well-understood. Sophisticated algorithms exist (and are routinely used at SpeQtral) that analyse the quantum correlations and distil a secret key. However, in space-to-ground quantum networks, rapid clock drifts and extremely lossy transmission channels add challenges to the well-established protocols.

The talent will work on SpeQtral’s QKD software stack and implement or improve one out of the many modules required for end-to-end key generation.

SpeQtral is looking for highly motivated talent to join a team of space quantum pioneers at the office in Singapore. They are commercialising quantum communications to prepare the world for the quantum future. Think quantum space lasers, entanglement and military level secure communications. As part of our mission to transform the world’s networks they plan to launch a constellation of satellites to enable worldwide entanglement distribution. The earliest application of this is highly secure encryption keys to facilitate secret communications, using our upcoming pathfinder satellite and an optical ground station (OGS) currently under development in Singapore.

SpeQtral has multiple projects, partially completed developments, aims and aspirations. While each is documented individually, this project would seek to map out these separate developments into coherent product development plans and build them into the company master plan with documentation for both the internal team and external publication./p>

Detailed tasks could be defined based on the interests and capabilities of the talent.

In order to provide taggers with better feedback, Tigtag would like to share quality check information about each piece of work they have done. This will help taggers to learn from their mistakes and perform better in the future.

In this project, interns will have the opportunity to support in developing a functionality that will be implemented in the mobile app for taggers to view their past works and see the mistakes they have made in their work.

Tigtag currently offers Badges as awards to taggers for consistent good performance in their tasks. To streamline Tictag's processes and reduce errors in badge assignment, we want to automate the assignment of certain badges according to specific criteria.

In this project, interns will have the opportunity to support in developing backend functionality for automatic badge assignment. Assignment rules will also be implemented for certain badges so that they are automatically assigned by the system.

To provide Tictag admins with a holistic view of important details associated with each user, the team intends to develop a consolidated user profile page. This page will consolidate and display data from various parts of the system to make it easier for Tictag admins to manage users and find the required information to resolve users' queries.

In this project, interns will have the opportunity to support in developing this unified user profiling page.

Echocardiography (ultrasound of the heart) is the first test of choice for Cardiologists. Compared to other imaging methods - it is less expensive, more mobile, non-invasive and radiation-free. However, the image quality is lower than other techniques like MRIs and CT scans.

US2.ai is trying to bridge the gap by developing software to bring AI-enhanced imaging resources to everyone. The project consists of developing AI tools to democratise echo, the most commonly used tool for detection of heart risk.

To support early operational deployments, Venti also provides Remote Operations and Command Center tools. These allow for a single operator to monitor many vehicles, monitoring and resolving tail end autonomy deficiencies. 

The focus of this project is to streamline the remote operator user experience for intuitive grasp of the problems at hand and quick resolution to return the vehicles to autonomous operation.

In the project Dimensions AR for BIM, the team is currently looking at furthering enhancements of VRCollab Dimensions to bring across the best-in-class BIM inspection tool from our other product "Coordinate", that is adapted to both the iPad and HoloLens interface. 

Moving forward, the team is currently seeking to integrate neatly to other iPad models with Lidar scanner and Microsoft HoloLens 2.