PhD and Postdoc Positions in Dynamical Systems: The research group at NTU Singapore’s School of Physical and Mathematical Sciences is seeking candidates for multiple PhD and postdoctoral positions. These roles focus on the project “Learning high-dimensional (networked) dynamical systems” and will be funded by a NAP grant. Candidates will explore various sub-topics with potential innovative research outcomes.
PhD and Postdoc Positions in Learning High-Dimensional Dynamical Systems
Designation:
- PhD Positions
- Postdoctoral Positions
Research Area:
- Learning High-Dimensional Dynamical Systems
- Statistical Learning Problems
- Time-Series Analysis
- Theoretical Machine Learning on Networks
- High-Dimensional Statistics
Location:
NTU Singapore, School of Physical and Mathematical Sciences
Eligibility/Qualification:
| Position Type | Qualifications |
|---|---|
| PhD | – Bachelor’s degree (or above) in Mathematics/Computer Science/Statistics or related fields. – Strong background in Probability and Statistics with relevant coursework and projects. |
| Postdoc | – PhD in Mathematics/Computer Science/Statistics or related fields. – Strong research background in statistical learning problems with publications. – Knowledge of MATLAB, R, Python, or similar languages. |
Job Description:
PhD Positions:
- Duration: Typically 4 years
- Focus: Deriving efficient algorithms with provable statistical guarantees.
- Skills: Strong understanding of topics such as optimization, probability theory, and approximation theory.
Postdoc Positions:
- Duration: 2 years
- Focus: Research on robust statistics and statistical problems on networks (e.g., clustering, ranking).
- Skills: Research work with a strong theoretical component in statistical learning.
How to Apply:
Interested candidates should email their CV along with a cover letter outlining their suitability for the position. Specify relevant coursework and projects for PhD applicants, while postdoc candidates should detail their research work in the domain.
Last Date to Apply:
31 August 2025
Starting date for positions is January 2026.
Candidates are encouraged to apply early to allow for sufficient time for interviews and administrative arrangements. Please note, responses will be sent only to candidates whose profiles are deemed potentially suitable.
