I will have multiple openings for PhD and postdoc positions in 2025 as part of a research group that I am in the process of creating at NTU Singapore (in the School of Physical and Mathematical Sciences).
The positions pertain to the research topic "Learning high-dimensional (networked) dynamical systems" (broadly defined) and there is ample room for exploring sub-topics depending on the interest of the candidate. The focus will be on deriving efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc. Some sample papers in this regard are this , this and this .
The duration of the PhD will typically be 4 years, while the postdoc positions will be for 2 years. Interested candidates who "fit" the criteria outlined below are strongly encouraged to contact me via email along with their CV.
Bachelor's degree (or above) in Mathematics/Computer Science/Statistics or related fields
Background in Probability/Statistics with an interest in Statistical learning problems -- esp. from a theoretical perspective
See also other requirements and info listed here
The starting date will be either in August 2025 or January 2026. In general, it is good to apply online at least 4 months before the starting month (the earlier the better). Before applying, you should first email me sufficiently in advance (with your CV) so that there is time to arrange for an interview in case your profile appears to be a good fit.
PhD in Mathematics/Computer Science/Statistics or related fields
Good research background in Statistical learning problems -- esp. from a theoretical perspective -- as evidenced by publications
Knowledge of at least one of: MATLAB, R, Python or similar languages
The earliest starting date possible will be around June/July 2025 (but this is flexible) . In general, administrative formalities can take up to 4-5 months (in the worst case) from the time an offer is made, so the exact starting date will depend on this.