Research Fellow (1 year contract), University Research Office

Singapore University of Social Sciences (SUSS); Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

The Singapore University of Social Sciences (SUSS) invites applications for a Renewable Contract Research Fellow position in Singapore. The role focuses on designing multi-agent AI architectures for risk assessment and intervention in real-world scenarios.

You will publish in peer-reviewed venues, collaborate with government agencies, and mentor junior researchers and student teams while advancing AI research in privacy-preserving technologies.

Qualifications

• Ph.D. degree required in a relevant field.
• Strong research portfolio with publications in top venues.
• Proficient in Python and deep learning frameworks (PyTorch, TensorFlow).

Responsibilities

• Design and develop multi-agent AI architectures for risk assessment and intervention.
• Develop decision-making models for risk scoring and escalation management.
• Evaluate and benchmark agentic AI systems with real-world and simulated scenarios.
• Conduct research on AI-driven cognitive circuit breakers and localized threat detection.
• Publish research findings in peer-reviewed journals and conferences.
• Collaborate with government partners and stakeholders on project alignment.
• Mentor and co-supervise junior researchers and student teams.]
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Skills

Artificial Intelligence

Multi-Agent Systems

Machine Learning

Differential Privacy

Python

Deep Learning

PyTorch

TensorFlow

Education

Ph.D. degree in Computer Science/Engineering/Data Science

Tools

PyTorch

TensorFlow

Job description

SUSS Named One of Singapore’s Best Employers 2026. Join Us to Make an Impact.

About The Job

The Singapore University of Social Sciences seeks candidates for a renewable contract appointment as a Research Fellow.

What You Will Be Doing

• Design and develop multi-agent AI architectures for risk assessment and intervention.


• Develop decision-making models for risk scoring, intervention selection, and escalation management.


• Evaluate and benchmark agentic AI systems using real-world and simulated threat scenarios.


• Conduct applied research on AI-driven cognitive circuit breakers and localized threat detection.


• Publish research findings in peer-reviewed international journals and premier academic conferences.


• Collaborate with government partners, agencies, and institutional stakeholders on project alignment.


• Mentor and co-supervise junior research associates, engineers, and student project teams.

Job Requirements

• Ph.D. degree in Computer Science, Computer Engineering, Data Science, or a closely related discipline.


• Strong research background in Artificial Intelligence, Multi-Agent Systems, Machine Learning, or Privacy-Preserving Technologies (e.g., Differential Privacy).


• Proven track record of high-quality research publications in international peer-reviewed journals or conferences.


• Strong programming skills in Python and deep learning frameworks (PyTorch, TensorFlow).


• Excellent analytical, problem-solving, and cross-disciplinary collaboration skills