Research Fellow positions: Data-Assimilation
[Edit 28/02/2025: The positions have been filled. Thank you for your interest.]
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:
- 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:
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:
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.