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The Institute for Functional Intelligent Materials (I-FIM) is looking for post-doctoral research fellows to work on topics in machine learning and its scientific applications. The successful candidate will work with Principal Investigators in I-FIM on these topics. The main responsibilities of the position include conducting cutting-edge research in machine learning theory and algorithm research, with applications to materials and quantum sciences. Topics include (but are not limited to) the following:

• Data-driven multiscale modelling
• Approximation and optimisation theory of new architectures with applications in dynamics
• Learning and controlling deterministic and stochastic dynamics

Job Requirements

Qualifications / Discipline:

• PhD in (Applied) Mathematics, Computer Science, Physics or related fields

Skills

• Strong knowledge in machine learning and deep learning
• Familiarity with basic theory of dynamical systems, ODEs, PDEs, and stochastic processes
• Knowledge in computational physics, chemistry are desirable
• Ability to code in Python with at least one of the popular deep learning frameworks, e.g. Jax, PyTorch

Experience

• Academic research with strong publication record. The candidate should have published in top machine learning conferences and journals, such as ICML, ICLR, NeurIPS, JMLR, and/or top journals in mathematics and applied sciences

More Information

Location: Kent Ridge Campus
Organization: Institute for Functional Intelligent Materials
Department : Research Groups
Job requisition ID : 28602