2+ years Postdoc @ National University of Singapore

The International Society for Bayesian Analysis; Singapore; On-site; SGD 70,000 - 100,000; Full time

Benefits offered by this job

Health Insurance

Generous budget for attending conferences

Job summary

The International Society for Bayesian Analysis is seeking two Postdoctoral Research Fellows for a two-year contract at the National University of Singapore. Candidates will work on designing and analyzing statistical methods for high-dimensional time-series data, with applications in reinforcement learning and state-space modeling.

Qualifications

• 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.

Responsibilities

• Design and analyze statistical methods for data-assimilation of high-dimensional time-series data.
• Apply tools from reinforcement learning, Koopman operators, and unsupervised representation learning.

Skills

Python programming

Deep-learning framework experience

Education

Ph.D. in Statistics, Computer Science, Physics, or related field

Job description

2+ years Postdoc @ National University of Singapore

Sep 26, 2023

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 [e-mail]. 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.