We are hiring postdoctoral fellows and research assistants interested in advancing the state of the art in learning with less data (AutoML, Bayesian optimization, meta-learning, active learning), federated/collaborative/multi-party learning (incentive-aware mechanism design, privacy, heterogeneous black-box model fusion), and Bayesian deep learning, with applications to robotics, advanced manufacturing, and precision agriculture for a period of 1 year with possible renewal/extension.
The postdoctoral fellows and research assistants will be based in the School of Computing of the National University of Singapore (NUS) and have the opportunity to collaborate with/co-advise the PhD and undergraduate students in our research group. For more information on our research group, interests, and recent papers in ICML, NeurIPS, UAI, AISTATS, and AAAI, visit https://www.comp.nus.edu.sg/~lowkh/research.html <http://www.comp.nus.edu.sg/~lowkh/research.html>). The postdoctoral fellow and research assistant positions are financially supported by multiple 3- to 4-year research grants involving learning with less data, probabilistic machine learning, and federated learning. For the postdoc positions, a successful candidate should have a Ph.D. in computer science and engineering, machine learning, statistics, math, data science, operations research or other related disciplines. A good publication record in the premier machine learning and AI conferences and/or journals is preferred. He/she must have a strong proficiency in programming. For the RA position, a successful candidate should have a Bachelor’s degree in computer science and engineering, statistics, math, data science, operations research or other related disciplines from a reputable university and a strong academic track record (especially in math, statistics, and algorithms courses). A good publication record in the premier machine learning and AI conferences and/or journals is a bonus. He/she must have a strong proficiency in programming. If you are interested to apply, please send a short cover letter describing your suitability for the position, detailed CV with academic ranking (if any) and publication list, a concise description of research interests and future plans, and academic transcripts to: Dr. Bryan Low Email: lo...@comp.nus.edu.sg Website: https://www.comp.nus.edu.sg/~lowkh/research.html <http://www.comp.nus.edu.sg/~lowkh/research.html> We will begin reviewing applications for the positions immediately. -- Regards, Bryan Low Associate Professor, Department of Computer Science, National University of Singapore Deputy Director, AI Research & Technology, AI Singapore -- Regards, Bryan Low Associate Professor, Department of Computer Science, National University of Singapore Deputy Director, AI Research & Technology, AI Singapore
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