Two Postdoctoral Research Fellow positions are currently open in the Department of Statistics & Data Science at the National University of Singapore (NUS). These are two-year contracts, with the possibility of renewal upon review.
While the research themes are flexible, our primary interest lies in the design and analysis of statistical methods for data-assimilation of high-dimensional time-series data. We anticipate applying tools from reinforcement learning, Koopman operators, and unsupervised representation learning, supplementing the more conventional techniques in state-space modeling (particle filters, EnKF, variational approaches, etc…)
Details:
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Start Date: Immediate
Duration: 2 years (Renewable for up to an additional year)
Salary Range: S$ 70k-100k / Year, plus benefits (Health Insurance / etc…)
Travel: Generous budget for attending conferences
Requirements:
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Ideal candidates should have:
* a Ph.D. in Statistics, Computer Science, Physics, or a closely related field.
* strong experience in Python programming.
* experience with at least one deep-learning framework
* a demonstrated record of academic publications
* research experience that aligns with the core focus of the research programme.
Contact:
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Queries about this post should be addressed to Alex Thiery at a.h.thiery@nus.edu.sg. We highly encourage prospective applicants to get in touch informally to discuss further details about the position first. This project is in collaboration with Jeremy Heng at ESSEC.
The positions will remain open until we find the right candidates.
More details at: https://alexxthiery.github.io/jobs/2024_koopman/2024_koopman.html