SGInnovate Summation for Organisations
Gain access to top talent from reputable universities globally to work on your Deep Tech projects with co-funding of up to 70%* from SGInnovate. These highly skilled talent will bring in fresh perspectives that add value to your organisation. Increase your brand awareness by being a part of the programme’s outreach activities.
*Subject to terms & conditions, see FAQs for details
Apply to submit projects and get access to top talent now.
Gain access to Deep Tech talent globally
Co-funding of up to 70% of the total stipend from SGInnovate
Increase your brand awareness
Why Should You Join?
Access to Top Talent
Attract top Deep Tech talents – undergrads to PhDs from reputable universities across the globe.
Attract top talent with co-funding from SGInnovate, up to 70% of the total stipends for the programme.
Increase your brand awareness by being a part of the programme’s outreach activities.
Bring in energetic students with fresh perspectives to test out new ideas or roles for your organisation.
Get plugged into the Deep Tech ecosystem through exclusive invites to various Deep Tech industry and community events.
Who Should Join?
Your organisation should be a startup specialising in Deep Tech with proof of financial stability.
Deep Tech Projects
Projects offered must be related to Deep Tech, such as Artificial Intelligence, Blockchain, Cybersecurity, Quantum, and Robotics.
Mentors should demonstrate technical expertise, ideally with five years of technical and two years of mentorship experience.
Please check FAQs for more details
Over 50 Deep Tech Projects to Choose From
Explore current projects via the cards below or click here for the full project descriptions. Talent applications for Summation is now open, click the button below to apply now.
Augmenting AI Recommender System for L&D Platform via Implicit/Explicit feedback & User Profile
Structural Health Analytics (IoT)
Embedded systems design/development (IOT)
Deep Learning for Social Media Marketing Platform
Analyse Consumer Conversations for Recommendations in FMCG Sector
Monitoring of construction productivity through video analytics
Computer Vision in Built Environment
High-throughput DNA Sequencing for enzyme engineering
Strain Optimisation for Production of High-Value Compound
Implementing Machine Learning guided approaches for data-drive enzyme evolution
Create Realistic Alternative Meats Through Protein Engineering
Develop Textured Plant-Based Prototypes to Replicate Conventional Meats
Firmware Development for DDS & FPGA Devices
Gravimeter Product Development
PCB Design and Miniaturisation
Miniaturised Cold Atom Trap for Interferometry
Fully-integrated and Offline Robot Simulator for AI-Robot Programming
Revolutionising Clean Meat: Developing Novel Biomaterials and Bioprocesses
Functional evaluation of a novel allogeneic platform
Development of Advanced Calibration Systems for Autonomous Vehicles
Enhancing Digitization Features of DiMuto DACKY with AI & IoT
Applied Mathematics with Quantum Computing
Numerics, Optimisation and Machine Learning Methods
Deep Learning & Computer Vision for Robotics
Automatic Tile Grouting Robots to Boost Construction Productivity
AI for Medical Imaging in Breast Cancer Screening
Machine Learning on Earth Observation
Apollo – Machine Learning for eCommerce Intelligence Engine
Apollo – Data Science for eCommerce Intelligence Engine
Development of Aerogel Formulation for EV Battery Application
Natural Language Processing-Based AI Solution for Learning English
Action Recognition to Secure Soft Targets
Deep Learning on Retinal Images
Federated learning based anomaly detection for IoT devices
Post-Quantum Cryptography in IoT Public Key Infrastructure
Development and Testing of Advance Luminescence Materials for Live Cells Imaging
Reyal Anticounterfeit Solution
Hardware Robotics Design Project
Strain Engineering to Develop High Productivity Microbial Cell Factory
IOT & AI Development for Future Microscopy
Product and Sphere Research & Development
Autonomous Crop Monitoring
Autonomous Navigation and Perception with Micro-drone for Pollination in Greenhouses
AI & Machine Learning for Novel Materials R&D Cloud-Based Platform
Data Science for Predictive Supply Chains
Knee Osteoarthritis Diagnosis and Progression Prediction
ACL Injury Diagnosis and Tracking Rehabilitation
Improving forecast, distinguish, and optimization of electrical demand using ML and modelling
Enhancing IoT Firmware and Hardware for Efficient Operation
Computer Vision and Motion Planning for Soft Robotic Catering
Optimisation of 3D printing in robotic production
Machine Learning for Chemical-Resistant Nanofiltration Membranes
Computer Vision for Low-power Low-compute Devices
Satellites for Quantum Communication R&D
Quantum Entanglement Software R&D
Quantum Communications Technologies R&D
Material Engineering for Green Hydrogen Production
Automatic Snapping Bounding Polygons for Computer Vision
Advanced Control for FreeSpace Optics Communication
Optimisation of Bioprocess Parameters for Culturing Fish Cells on Plant Based Scaffolds
Deep Learning on Echocardiograms
Autonomous Prime Mover for Ports
Visual Inertial Localisation in Densely Vegetated Areas
3D Real-time Semantic Understanding and Detection
3D Occupancy Perception with Multiple Cameras
System Integration of WaveScan’s Scanners onto Robotic Platforms
Radio Frequency Signal Processing Algorithm Development for WaveScan’s Scanning Technology
Innovation of Materials for Carbon Capture using High Throughput Experimentation and Machine Learning
Testimonials from Summation's alumni
London School of Economics (LSE) Graduate, Finance Summation Alumnus with Holmusk Currently Founder-in-Residence at Entrepreneur First
I was able to pick up and learn things first-hand while also gaining exposure to opportunities that would have been difficult to find elsewhere. Through the apprenticeship, I am more aware of my strengths and weaknesses, where my interests lie and how I can find meaning and fulfilment in my budding tech career.
NTU graduate, Rennaisance Engineering Programme (REP), Mechanical Engineering Summation Alumna with Polybee
The Deep Tech startup culture that I got to experience in the Summation Programme moved me deeply. If you consider yourself a curious student of tech and entrepreneurship, I can confidently say that Summation will be an invaluable experience for you!
Frequently asked questions
Foreign students based outside of Singapore are welcome to apply. But in light of current travel restrictions, actual matching to opportunities will only take place once the restrictions have been lifted. For more information, please refer to our FAQs.
Summation is one of SGInnovate’s talent programme that aims to match top global Talent to exciting Deep Tech projects pioneering cutting edge technologies in the fields of Artificial Intelligence (AI), Biotechnology, Quantum Computing, Robotics, and more.
Through this programme, Talent get unique opportunities to work on exclusive projects building in-demand specialised Deep Tech competencies. The immersive nature of involving talent in key technical roles in projects is invaluable. It provides the talent with the opportunity to develop and impact leading technologies first-hand and contribute to building an exciting Deep Tech scene in Singapore.
This FAQ is for Singapore Citizens, Permanent Residents or Foreigners studying in Singapore. Please refer to the FAQ for Foreigners if you are an international student, postgraduate, or fresh graduate studying overseas.
Singapore Citizens / Permanent Residents
Foreigners Studying in Singapore
The applicant must be able to showcase relevant skills and knowledge for the project that you apply for, for example:
- Academic courses in IHLs
- Online courses (e.g. Coursera, Udemy)
- Projects (e.g. Github, Stackoverflow)
- Working experience (e.g. past internships, part-time, freelance)
- Awards and competitions (e.g. Hackathons, Datathons)
Please refer to our website to see the specific eligibility criteria for the respective projects.
Developing tertiary students with key competencies at every stage of the product development lifecycle through core technical roles in areas such as Software Development, Data Engineering, Data Analytics,
UI / UX design, Product
Check out Infinity Series here.
Driving full-time students, postgraduates, and fresh graduates with notable skillsets to contribute to the development of cutting-edge Deep Tech projects in areas such as Artificial Intelligence (AI), Biotechnology, Quantum Computing, Robotics, etc.
Open to full-time students and postgraduates who are:
Open to full-time students, postgraduates, and fresh graduates (with less than 1 year of working experience)
Please refer to the timeline on our website under Summation. No submissions will be accepted after the stipulated deadlines.
Summation offers projects in Deep Tech areas, such as Artificial Intelligence, Blockchain, Cybersecurity, IoT, Robotics, Quantum, Biotechnology and more. The Talent will take on technical roles within these project areas.
No, projects may differ in scope and duration. Please refer to the full list of Deep Tech projects and roles available on our website for more information.
The programme duration ranges from 3 – 6 months with a minimum commitment of three (3) months full-time equivalent. Actual duration of programme may vary based on role requirements and Talent’s availability.
In unique circumstances such as foreign students on student visa, a combination of full-time and part-time arrangement equivalent to three (3) months full time stint may be considered (subjected to SGInnovate’s approval).
Any arrangement after the stipulated duration (6 months) is out of the programme scope. You are free to liaise directly with the organisation. Any arrangement or agreement made would be between both parties only, and not associated with SGInnovate.
The total package amount varies based on your education level:
Monthly Total (SGD)
Undergraduate or graduate^
Master’s student or graduate^
PhD’s student or graduate^
^ Note: Only applicants who graduated within 12 months are eligible to apply
The system only allows an applicant to edit his/her submission during the draft stage. Once the application form is successfully submitted, edits are no longer allowed.
Applicants can choose to re-submit another application form. However, only the last application submitted before the deadline will be considered.
Start dates are flexible and should be agreed upon between the organisation and the Talent prior to signing the agreement.
Applicants will need to check with their schools on such arrangement. SGInnovate will not be responsible for liaising with the IHLs regarding such arrangements.
Applications will be evaluated against the respective criteria of the projects they have identified in their preference selections.
Programming related projects will typically require proficiency in at least one programming language. Apart from technical skills, relevant knowledge and/or experience related to the project will also be taken into consideration. Please refer to this link to see the specific eligibility criteria for the respective projects.
The shortlisting phase comprises of two stages:
Stage 1: Technical & cognitive assessments
There will be several assessments that you will take based on the projects you are shortlisted for. Note that applicants who select only non-coding related projects will not be required to take the technical assessment.
Stage 2: Interviews
Shortlisted applicants who successfully passed the technical assessments will be invited to attend interview sessions with the organisations. Organisations will reach out to relevant applicants directly for interview arrangements. The organisations you applied to may administer additional technical assessments during this phase. If the organisation decides to proceed with the applicant, there will be a final round of interview with SGInnovate before any final offers are made.
Please refer to the timeline on our website under Summation. Applicants will be informed of their application status via email. Shortlisted applicants will receive additional instructions.
Successful applicants will sign a 3-way contract between you, SGInnovate and the organisation before starting the programme. Start dates will be agreed upon between the applicant and organisation prior to the signing of contract.
The Talent’s monthly stipend will be paid out fully by the organisation along with the organisation’s monthly payroll.
No, the Summation Programme is CPF exempted.
Talent are required to complete feedback forms, training logs, attend planned training workshops and participate in event(s) related to the programme.
Talent will be awarded with a certificate of participation. Any working agreement (for example, part-time work) beyond the stipulated duration will be arranged directly between the Talent and the organisation. SGInnovate will not be involved.