Nanyang Technological University, School of Physical & Mathematical Sciences,, Division of Mathematical Sciences

768 20187Scholarship ID: NTU-GS [#20187]
Scholarship Title: Graduate Scholarships
Scholarship Type: Student programs
Scholarship Location: Singapore, Singapore 637371, Singapore [map] sort by distance
Subject Area: Mathematical Sciences
Application Deadline: none
Scholarship Description:    

Division of Mathematical Sciences, School of Physical & Mathematical Sciences, 
NTU Singapore

The PhD in Mathematical Sciences programme offered by the Division of Mathematical Sciences at Nanyang Technological University, Singapore, is a four year program that provides students with a stimulating environment for conducting original research in mathematical sciences.

For more information on the degree programme, please see

A limited number of scholarships covering tuition fees and stipend for the four years of the degree programme is available. Please see for more information.

In addition, the following faculty members have scholarships available to the interested applicants.

Title: 2 PhD Positions in Geometry, Probability, and Deep Learning

Type: PhD Student Program

Location: Nanyang Technological University (NTU, Singapore)

Deadline: 07/07/2022

Subject Area: Mathematical Data Science

Applications are invited for 2 doctoral positions in Geometry, Probability, and Deep Learning at the Department of Mathematics, Nanyang Technological University (NTU) Singapore. The ideal candidates will have an academic background in at least one of these fields, including particularly in infinite-dimensional Riemannian or metric geometry, infinite-dimensional probability or stochastic analysis, statistical learning theory, coding theory, inverse problems, or harmonic analysis.

The positions are part of the project "Geometry, Probability, and Deep Learning" funded by Singapore's National Research Foundation. The goal of this project is to use geometric and probabilistic methods for analyzing the effectiveness of deep learning, to use deep learning methods for improving algorithms in probability and geometry, to advance the mathematical foundations of these methods, and to develop applications in e.g. mathematical finance or biomedical shape analysis. The positions are funded over a period of 4 years with starting date in January 2023 or, if that is too soon, August 2023.

If you are interested, please send your CV, list of publications, and research statement (1-2 pages) in a single PDF to Philipp Harms The application deadline for the January 2023 intake is early July. The search will continue until the positions are filled.


Contact Name: Philipp Harms

Contact Email:

Title: Graduate Scholarship at the Division of Mathematical Sciences of the Nanyang Technological University 

          (NTU, Singapore)

Type: PhD Student Program

Location: Nanyang Technological University (NTU, Singapore)

Deadline: 30/09/2022

Research opportunity at the Division of Mathematical Sciences of the Nanyang Technological University (NTU, Singapore)

I am looking for a candidate to fill a position in my research group at the graduate student level. I am looking for mathematicians, statisticians, physicists, or candidates with diplomas in closely related fields, interested in research at the interface between geometry, dynamics, and learning. Even though it is not a necessary condition, candidates with expertise in reservoir computing, geometric mechanics, variational and structure-preserving integration, dynamical systems, or statistical learning will be highly considered.

The Graduate scholarship is a four-year grant towards the obtention of a PhD in mathematics. Candidates must apply for admission to NTU by the beginning of September. Candidates holding diplomas from certain countries may need to provide GRE scores and/or proofs of proficiency in English. The successful candidate will start his/her graduate studies by January 2023.

Interested candidates should contact Prof. Juan-Pablo Ortega at

Contact Name: Juan-Pablo.Ortega

Contact Email:

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