Singapore International Graduate Award (SINGA)
The Singapore International Graduate Award (SINGA) is open to international students (non-Singaporeans/non-PRs) keen on Science and Engineering research.
Participating companies partner with SIT to jointly scope and supervise the SIT-SINGA trainees’ postgraduate R&D projects. The SIT-SINGA trainees work on these company-driven projects while earning their doctorate/graduate degree.
For Students
- Trainees are expected to spend their time working on jointly identified approved research project within SIT and the company’s facilities.
- Trainees will be supervised by an SIT faculty member and a company staff with appropriate research qualifications.
Application information
There are 2 intakes for SIT-SINGA;
- January intake: application period is open from 2 December to 1 June.
- August intake: application period is open from 2 June to 1 December.
For information on the award, eligibility and application procedure, please visit here.
For Company
Interested companies will jointly scope research projects with identified SIT faculty before submitting the research proposal to SIT for consideration.
Eligibility as a Company Partner
- Singapore-based entity. Companies should be registered and operating in Singapore.
- Possess the capacity and ability to scope and conduct an industrial postgraduate project (IPP) with the academic partner. This includes:
- Assigning suitable company R&D leaders to be supervisors to supervise the project. The proposed company supervisor(s) should possess the relevant expertise and qualifications to supervise the trainee(s) on the IPP project topic(s).
- Having visibility of the R&D roles in which the trainee(s) will be deployed upon completion of the IPP project.
- Companies should also have the financial ability and commitment to support the trainee(s) for the entire duration of the IPP.
- Demonstrate commitment to support trainee(s) towards attaining a postgraduate degree within stipulated candidatures.
Contractual Agreement & Intellectual Property Arrangements
- Companies will work with SIT’s Innovation and Technology Transfer (ITT) Division and Legal Division to formulate a contractual agreement for each research project undertaken by the trainee(s), company and SIT.
- The agreement will include clauses related to salary, tuition fees, the extent of commitment by all involved parties, conference travel, insurance, publications, consumables, utilisation of equipment and any other indirect costs which may arise during the IPP.
- The company and SIT will also need to agree on Intellectual Property (IP) arrangements arising from the projects undertaken by the trainee(s).
Company’s contributions
- Supervises and hosts trainee(s) at company’s research facility.
- Funds all project costs and trainee-incurred expenses (eg. insurance, equipment, travel, conferences, publications, etc).
Research Areas
Click the following links for an overview on:
The Infocomm Technology Cluster has various opportunities in the areas of:
- Artificial Intelligence & Data Science
- Human-Computer Interaction & Immersification
- Cybersecurity and Information Security
- Systems (including computer science, computer engineering, modelling)
- 5G/6G communications & networking
- Future mobility
The following pages identify several such projects as examples. To enquire about something in your own area, please contact Professor Ian McLoughlin, Cluster Director, ICT Cluster: Ian.Mcloughlin@SingaporeTech.edu.sg.
Project Examples
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Imaging 4.0: Intelligent and Flexible Ultrasound Imaging
Project Details:
This project focuses on advancing ultrasound imaging technology through three main areas: flexible array ultrasound imaging, 3D multi-perspective imaging, and automated and aided imaging. It aims to develop novel flexible array designs for wearable and continuous imaging, implement deep learning-based image reconstruction, and create autonomous robotic scanning systems. The project also explores automated image annotation, guidance, and archiving systems using machine learning techniques. Collaborators include industry partners like GE Healthcare and academic institutions such as the University of Alberta.
For full details, download the following PDF file.
Contact Us:
Project Research Lead: Associate Professor Mahesh Panicker
The supervisor, Associate Professor Mahesh Panicker, has a wealth of experience as a researcher and PI in imaging projects especially for medical systems.
Profile: https://www.singaporetech.edu.sg/directory/faculty/mahesh-raveendranatha-panicker
Email: Mahesh.Panicker@SingaporeTech.edu.sg
For more information on past projects, publications and patents:
https://www.pulseecho.in/ -
AI for Knowledge-Driven Energy Resilience Applications
Project Details:
This project combines computer science innovations with real-world energy resilience applications, focusing on areas like electric mobility, green computing, and sustainable materials. Led by A/Prof Zhang Wei, the team collaborates with industry partners such as ST Engineering and NVIDIA to address industry challenges and maximize business competitiveness. The research is funded by various Singapore agencies and offers doctorate candidates the opportunity to work on high-impact projects while publishing in top-tier papers.
For full details, download the following PDF file.
Contact Us:
Project Research Lead: Associate Professor Zhang Wei
The supervisor, Associate Professor Zhang Wei, has a strong track record of research grants and publications. He is the incoming head of the AI research group at SIT.
Profile: https://www.singaporetech.edu.sg/directory/faculty/wei-zhang
Email: Wei.Zhang@SingaporeTech.edu.sg
For more information: https://sites.google.com/view/sit-zhang-wei/ -
Zero Trust Cybersecurity for Industry Control Systems
Project Details:
This project aims to implement a zero trust security strategy for Industry Control Systems (ICS) that control critical infrastructure like healthcare, power plants, and transportation systems. It replaces traditional perimeter-based security approaches with a dynamic model based on continuous verification and least privilege access. The research focuses on developing frameworks to secure remote monitoring and systems management of healthcare devices, systems, and networks, with potential applications in hospitals and other critical infrastructure environments.
For full details, download the following PDF file.
Contact Us:
Project Research Lead: Associate Professor Huaqun (Linda) Goh
The supervisor, Associate Professor Huaqun (Linda) Guo has a strong track record of applied research grants in SIT and previously. She is a Senior Member of the IEEE, Chair of the IEEE Intelligent Transportation Systems Chapter, and the incoming head of the cybersecurity research group at SIT.
Profile: https://www.singaporetech.edu.sg/directory/faculty/Huaqun-Guo
Email: Huaqun.Guo@SingaporeTech.edu.sg -
Artificial Intelligence for Integrated Sensing and Communications (ISAC) for 6G
Project Details:
This project explores the integration of wireless communication and radar sensing functionalities within a single system for future 6G communications. It aims to develop AI-based algorithms for ISAC to enhance detection, classification, and estimation capabilities. The research will be conducted at the Future Communications Translation Lab (FCTLab) in SIT, which is equipped with private 5G testbeds and advanced communications test instruments. The project involves collaboration with industry partners to bridge the gap between theoretical research and practical solutions.
For full details, download the following PDF file.
Contact Us:
SIT Supervisor: Associate Professor Pei Yiyang
A*STAR Supervisor: Dr Zeng Yonghong (IEEE Fellow) and Dr Zhang Xiaojuan (I2R)The SIT supervisor, A/Prof Pei Yiyang, is in charge of the Future Communications Translation Lab (FCTLab) in SIT. She is a well-established academic and researcher with several highly cited papers. She is a co-recipient of the IEEE Communications Society Stephen O. Rice Prize in 2021.
Profile: https://www.singaporetech.edu.sg/directory/faculty/yiyang-pei
Email: Yiyang.Pei@SingaporeTech.edu.sg -
Shaping the Future of Robust Autonomous Vehicles with SIT
Project Details:
This research project focuses on enhancing the robustness of Autonomous Vehicle (AV) perception systems using the Moving Target Defence (MTD) strategy. In collaboration with NTU and guided by DSO National Laboratories Singapore, the project aims to secure AV perception tasks against adversarial attacks. With significant funding and resources, including advanced GPU workstations and an EV testbed, the research emphasises real-world application and testing of solutions in DSO's AV.
For full details, download the following PDF file.
Contact Us:
Project Research Lead: Assistant Professor Xin Lou
Profile: https://www.singaporetech.edu.sg/directory/faculty/lou-xin
Email: Lou.Xin@SingaporeTech.edu.sg -
AI-Driven Fuzzing for 5GA/6G Security
Project Details:
This project aims to leverage AI-driven fuzzing techniques and Large Language Models (LLMs) to enhance the security and robustness of 5G and future network protocols. It focuses on addressing complex vulnerabilities that traditional testing methods often miss, particularly in advanced 5G releases and upcoming 6G technologies. The research integrates the MITRE FiGHT framework and collaborates with industry leaders like Viavi, Palo Alto, and ITSEC to contribute to global standards and best practices in network security.
For full details, download the following PDF file.
Contact Us:
Project Research Lead: Assistant Professor Purnima Murali Mohan
Profile: https://www.singaporetech.edu.sg/directory/faculty/purnima-murali-mohan
Email: Purnima.Mohan@SingaporeTech.edu.sg
How To Apply
Matriculated students may access the online application form via the SIT Student Intranet - IN4SIT.
Applicants will need to complete and submit the online application form after uploading all required supporting documents through the application portal by the given deadline. Scholarship applicants are expected to upload an endorsed Letter of Recommendation and their SIT Record of Achievement (where applicable).