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 https://www.ntu.edu.sg/spms/about-us/mathematics/grad/phd

A limited number of scholarships covering tuition fees and stipend for the four years of the degree programme is available. Please see https://www.ntu.edu.sg/spms/admissions/grad/scholarships for more information.

Position Title: PhD Fellow in Statistics and Applied Mathematics

Position Type: PhD

Location: NTU, Singapore 

Deadline: The position is open until filled 

Research Opportunities in Statistical Learning at the School of Physical and Mathematical Sciences of NTU Singapore

There will be multiple PhD positions available in 2025 as part of the research group of Dr. Hemant Tyagi 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. The positions will be suitable for candidates with an interest in high-dimensional statistics, probability and optimization. The duration of the PhD is 4 years.

Requirements

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 Dr. Tyagi 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.

Interested candidates should contact Assoc. Prof. Hemant Tyagi with their CV for consideration.

Contact Name: Assoc. Prof. Hemant Tyagi

Contact Email: hemant.tyagi@ntu.edu.sg

Position Title: PhD Fellow in Mathematics

Position Type: PhD

Location: NTU, Singapore 

Deadline: The position is open until filled 

Research Opportunities at the School of Physical and Mathematical Sciences of NTU Singapore

We are excited to announce multiple research opportunities in applied mathematics at the level of PhD positions for graduate students and postdoctoral research fellowships within the framework of a 5-year research grant on Geometric Optimization and Design in Learning and Robotics. The vacancies are targeted at applied mathematicians, computational scientists, physicists, and candidates with expertise in closely related fields who are interested in research at the interface between geometry, mechanics, materials science, computation, and control theory. 

 
PhD positions

Applicants for PhD positions are expected to have a strong background in mathematics with a degree in mathematics or a closely related field, combined with a passionate interest in the development and application of advanced mathematical tools to problems in fields such as data science, robotics, and machine learning. Successful candidates will receive a four-year grant towards obtaining a PhD in mathematics. Some candidates may need to provide GRE scores and/or proof of proficiency in English according to NTU admissions policy.  Expected commencement dates for graduate students are August 2025 and January 2026.

Requirements:

• Undergraduate degree in Mathematics/Physics/Computer Science/Statistics or related fields
• Evidence of excellence in at least one of the following areas: analysis, differential geometry, optimization, probability and statistics
• Good communication skills including fluency in English
  
  

Interested candidates should contact Asst. Prof. Cyrus Mostajeran with their CV for consideration.

Contact Name: Cyrus Mostajeran

Contact Email: cyrussam.mostajeran@ntu.edu.sg

Position Title: PhD Fellow in Computational and Applied Mathematics

Position Type: PhD

Location: NTU, Singapore 

Deadline: The position is open until filled 

Research Opportunities at the School of Physical and Mathematical Sciences of NTU Singapore

We are excited to announce multiple research opportunities in applied mathematics at the level of PhD positions for graduate students and postdoctoral research fellowships within the framework of a 5-year research grant on Geometric Optimization and Design in Learning and Robotics. The vacancies are targeted at applied mathematicians, computational scientists, physicists, and candidates with expertise in closely related fields who are interested in research at the interface between geometry, mechanics, materials science, computation, and control theory.

 
PhD positions

Applicants for PhD positions are expected to have a strong background in applied mathematics with a degree in mathematics, physics, or a closely related field, combined with a passionate interest in the development and application of advanced mathematical and computational tools to the modelling of the geometry and mechanics of biological growth, shape-programmable systems, active matter, and soft robotics. Successful candidates will receive a four-year grant towards obtaining a PhD in mathematics. Some candidates may need to provide GRE scores and/or proof of proficiency in English according to NTU admissions policy.  Expected commencement dates for graduate students are August 2025 and January 2026.

Requirements:

• Undergraduate degree in Mathematics/Physics/Computer Science/Mechanical Engineering or related fields 
• Evidence of excellence in at least one of the following areas: analysis, differential geometry, optimization, mechanics, scientific computing, control theory
• Good communication skills including fluency in English

Interested candidates should contact Asst. Prof. Cyrus Mostajeran with their CV for consideration.

Contact Name: Cyrus Mostajeran

Contact Email: cyrussam.mostajeran@ntu.edu.sg