Research Assistant, AI (School of Computing)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-AI-%28School-of-Computing%29/33022-en_GB/?st=601644EB667833C4704E4258E5C1149E204978E0

We regret that only shortlisted candidates will be notified.

Job Description

Description: The National University of Singapore invites applications for the position of Research Assistant/Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large scale experimental systems, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant/Engineer will work on a research project on planning and decision-making for responsible cognitive robotics. The successful candidate will assist the Principal Investigator in designing and implementing a large experimental environment based on space exploration and future human settlement, such as Moon- or Mars-based scenarios. This experimental environment will support a wide range of simulated, physical, and/or hybrid decision-making activities for cognitive robots. The work involves research topics in strategic games, computational cognitive neuroscience, hierarchical and causal reinforcement learning, neuro-symbolic approaches to integrated learning and planning, and transfer learning in sequential decision-making.

Qualifications

The candidate should have:

• Strong programming and systems engineering skills, preferably with experience in video game development and/or robot programming platforms
• Good working knowledge of Python, AI development tools, and game development platforms
• Familiarity with one or more of the following areas: computational cognitive neuroscience, AI planning and decision-making, reinforcement learning, uncertainty modelling in AI, and machine learning
• A keen interest in working with emerging technologies and frameworks
• Good communication skills in both written and spoken English