Research Fellow (Math Foundation of AI)

About the role

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore, within its Division of Mathematical Sciences, is seeking postdocs for the group of Wang Zhongjian. The work focuses on scientific computing and machine learning, funded by a Ministry of Education grant titled "Towards Infinite Dimensional Generative Models". The contract runs up to three years, subject to funding availability.

Key responsibilities

• Research on scientific computing and machine learning topics
• Paper and proposal writing
• Teaching assistance
• Mentoring graduate students
• Transferring expertise to machine learning and scientific computing through collaboration with other group members (PhD students, exchange graduate students, etc.)

Required profile

• A PhD in Mathematics or a related area, with a focus on numerical analysis or machine learning
• Experience in computational mathematics
• Track record in at least one of: approximation of neural networks, convergence of Langevin/MC sampling, analysis and algorithm design of interacting particle systems, operator learning, or regularity theories in inverse/scattering problems
• Strong written and verbal communication skills
• Strong publication record

Required skills

• Proficiency in programming languages such as C, C++, Fortran and Python
• Computational mathematics experience

Shortlisted candidates only will be notified. Applications are submitted through Workday; applicants can also attach application packages by email after applying for faster screening. The group provides reasonable GPGPU computing resources from the National Supercomputing Centre when needed.