全职 Research Assistant, AI (School of Computing) 工作, 薪水 up to SGD 5,000, NATIONAL UNIVERSITY OF SINGAPORE West Region (Singapore) 公司招聘中 - Ricebowl

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.

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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