Postdoc & RA positions in AutoML pipeline, active learning, Bayesian optimization & neural architecture search at National University of Singapore

[Bryan Kian Hsiang Low]

We are hiring postdoctoral fellows and research assistants interested in advancing the state of the art in learning with less data (AutoML pipeline, Bayesian optimization, active learning, neural architecture search), with applications to advanced manufacturing, multi-agent reinforcement learning, 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, AAAI, IJCAI, visit https://www.comp.nus.edu.sg/~lowkh/research.html.

A recorded seminar on our recent works is also available here: https://www.youtube.com/watch?v=MU6HCFm65aE

The postdoctoral fellow and research assistant positions are financially supported by multiple 3- to 4-year research grants involving learning with less data and probabilistic machine 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
Emails: lo...@comp.nus.edu.sg
Websites: https://www.comp.nus.edu.sg/~lowkh/research.html

I (Bryan) will be at NeurIPS 2022 in person. Email me if you would like to meet up for a discussion.

We will begin to review applications for the positions immediately.


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Regards,
Bryan Low
Associate Professor of Computer Science, National University of Singapore
Director of AI Research, AI Singapore