Research Assistant (Computer Engineering/Computer Science/Electronics Engineering)

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Job Responsibilities:

• Design and implement LLM-agent pipelines that synthesize and iteratively refine executable programs to

• Complete tasks in an interactive simulated testbed (e.g. Stardew Valley), using execution-trace and human feedback for refinement

• Investigate multi-program, long-horizon planning: plan decomposition and refinement, and amortization/library-learning of reusable program components

• Report project progress regularly to the PI and help scope next milestones

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• First-hand experience in neuro-symbolic methods. E.g. code generation, library learning (e.g. dream coder), etc.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.