Research Associate (Math Foundation of AI)

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NTU Singapore's School of Physical and Mathematical Sciences invites applications for postdoctoral researchers in scientific computing and machine learning. The role focuses on methods for infinite dimensional generative models under MOE funding and involves collaboration with group members and students.

Strong publication record and programming skills required. Contract is up to three years, subject to funding, with access to NSCC GPGPU resources and a vibrant, international research

Qualifications

• Master’s degree in mathematics with focus on numerical analysis or machine learning.
• PhD thesis submitted or in process welcome; strong modeling and computational background.

Responsibilities

• Research Paper/proposal writing
• Teaching assisting
• Graduate student mentoring

Skills

Machine learning

Numerical analysis

C language

C++

Fortran

Python

Communication

Publications

Education

Master’s degree in mathematics or related areas

Job description

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

The group of Wang Zhongjian is looking for postdocs working on scientific computing and machine learning related topics. The funding is currently under a MOE grant entitled: Towards Infinite Dimensional Generative Models. The contract period of the position is up to three years subject to funding availability. Applicants should be familiar with and have track records in at least one of the following fields: approximation of neural networks, convergence of Langevin/MC sampling, analysis and algorithm design of interacting particle systems, operator learning, regularity theories in inverse/scattering problems. Once successful, the candidate is expected to transfer his expertise to machine learning/scientific computing in collaborations with other group members (phd students, exchange graduate students, etc). When projects are required, the group will provide reasonable GPGPU computing resources from the NSCC. The review of candidates will be conducted monthly until all the positions are filled.

Key Responsibilities

• Research Paper/proposal writing
• Teaching assisting
• Graduate student mentoring

We regret to inform that only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in mathematics or related areas, with focus on numerical analysis or machine learning.
• Candidates who have submitted their PhD thesis or are awaiting thesis examination and award of the PhD degree are welcome to apply.
• Experience in computational math.
• Proficient in coding languages, such as C, C++, Fortran, and Python.
• Strong written and verbal communication skills.
• Strong publication record.

Hiring Institution

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

For more information, visit www.ntu.edu.sg