Research Assistant, School of Computing
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About the role
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-School-of-Computing/33417-en_GB/?st=A55755FF81B4A3D34A21E0374435BE769288FA37 We regret that only shortlisted candidates will be notified. Job Description The National University of Singapore invites applications for the position of Research Assistant (RA) 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 We are seeking a motivated research assistant to join a research group focused on scaling cooperative intelligence via rational, model-based AI engineering. The Research Assistant will be responsible for working closely with the Principal Investigator in one or more of the following research areas: (i) human-like cooperative agents; (ii) cooperative infrastructure for humans and AI; (iii) probabilistic programming and model-based planning. Enquiries can be sent to the Principal Investigator, Dr Tan Zhi Xuan at dcsv402@nus.edu.sg. Only shortlisted candidates will be notified. Job Requirements Successful candidates should have at least a Bachelor's degree in Computer Science or a related field. They should possess strong programming skills, and demonstrate a solid foundation in mathematics and statistics. Research experience in AI, computational cognitive science, or related fields is highly desirable. Familiarity with the following areas is useful: probabilistic programming languages, Bayesian modeling, planning algorithms, multi-agent systems, LLMs.
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Company Intel
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