Research Fellow, Artificial Intelligence and Human Aware Decision Making
The National University of Singapore invites applications for the position of Research Fellow 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 Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. The research fellow will help the Principal Investigator conduct research in Artificial Intelligence (AI) by offering new theoretical perspectives on and engineering approaches to human aware decision making. In particular, the research fellow is going to explore new conceptual and computing frameworks for decision making in complex, uncertain, and changing environments. Special focus will be placed on the underlying mechanisms and dynamics of integrating learning with planning and decision making, representation change, perception, communication, and interaction in real-world environments.
The candidate should possess experience or interest in at least one of the following research areas:
Decision-theoretic AI, relational and probabilistic modelling, causal modelling, statistical learning with multimodal information, planning and model-based reinforcement learning, transfer learning in sequential decision processes, knowledge- and data-driven representation, computational neuroscience, computational cognitive science, and AI applications in health and education.
The position is available immediately. The initial term of appointment will be 1 year with possible extension to 2 years. The selected candidate will be offered strongly competitive salaries and benefits, support to travel for dissemination of research results, and substantial freedom to build a strong research profile of his/her own.
A PhD degree in relevant areas; strong system-building and management skills; keen interests in working with emerging technologies and frameworks; good communications skill in both written and verbal English.
Location: Kent Ridge Campus
Organization: School of Computing
Department : Department of Computer Science
Employee Referral Eligible: No
Job requisition ID : 11665