Research Associate in Mathematical Foundations of AI: Generative Models and Scientific Computing, NTU Singapore
Job Description
NTU Singapore’s School of Physical and Mathematical Sciences is recruiting a Research Associate in the mathematical foundations of AI for a project on infinite-dimensional generative models (requisition R00025629).
At a glance
- Position: Research Associate (postdoctoral level)
- Where: School of Physical and Mathematical Sciences, NTU, Singapore
- Pay: not stated in the posting
- Duration: up to three years, subject to funding
- Apply by: open until filled; posted 28 August 2026
The post is in Wang Zhongjian’s group and is funded by a Ministry of Education grant titled “Towards Infinite Dimensional Generative Models”. The advertisement asks for a track record in at least one of: approximation by neural networks, convergence of Langevin or Monte Carlo sampling, analysis and algorithm design for interacting particle systems, operator learning, or regularity theory in inverse and scattering problems.
Why this role matters
Generative models are moving from images and text to functions and physical fields, where the mathematics of sampling, operators and approximation decides what is possible. This is a rare postdoctoral post that sits squarely in that theory.
About the mathematical foundations of AI post at NTU
- Research on scientific computing and machine learning within the group’s work on infinite-dimensional generative models
- Transfer your expertise to machine learning and scientific computing in collaboration with PhD and exchange students, as the advertisement states
Eligibility
- A master’s degree or above in mathematics or a related area, focused on numerical analysis or machine learning
- Candidates who have submitted a PhD thesis or are awaiting examination and award of the degree may apply
- Experience in computational mathematics
- Proficiency in programming languages such as C, C++, Fortran and Python
- A strong publication record
NTU states that only shortlisted candidates will be notified. The contract period is up to three years, subject to funding availability.
Pay and duration
- The posting does not state a salary
- Up to three years, subject to funding availability
How to apply
Apply through NTU’s careers portal on the official posting (requisition R00025629). Include a CV with publications, a short research statement naming which of the listed areas you work in, and referees.
Key dates
- Posted on NTU’s careers portal on 28 August 2026
- No closing date stated; the post is open until filled
Please read the official NTU posting (requisition R00025629) before applying, and browse more artificial intelligence jobs on ResearchJobs.in.
Hiring institution: Nanyang Technological University (NTU Singapore)
Official advertisement: ntu.wd3.myworkdayjobs.com
How to prepare for this application
- Name your area: the advertisement lists five research areas, so state plainly which one you work in and cite your papers.
- Sampling theory: revise Langevin dynamics and convergence rates, a recurring theme in generative model theory.
- Operator learning: be ready to compare neural operators with classical numerical solvers.
- Code: the post asks for C, C++, Fortran or Python, so bring a repository that shows real numerical work.
- Group fit: read Wang Zhongjian's recent papers and prepare a question about the grant's direction.
About NTU Singapore
Nanyang Technological University (NTU Singapore) is a research-intensive university in Singapore with strengths across engineering, science, computing and medicine. Its Centre for Quantum Technologies node, School of Physical and Mathematical Sciences and College of Computing and Data Science host quantum information, photonics and machine-learning groups, and research fellowships there are common steps between a PhD and a faculty or industry research post.
