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).
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
We will begin reviewing applications for the positions immediately.