Part-Time Research Assistant

4 days ago

Singapore Nanyang Technological University Singapore Full time

Part-Time Research Assistant (Machine Learning and Computational Fluid Dynamics)
We are seeking a part-time research assistant to develop next-generation computational tools for simulating two-phase flows by integrating advanced Artificial Intelligence (AI) techniques with traditional computational fluid dynamics (CFD) methods. The role focuses on transitioning legacy CFD solvers to modern, Python-based AI frameworks (e.g., PyTorch, JAX), targeting high-efficiency, scalable simulations of water-air systems transport. The successful candidate will contribute to the creation of an AI-optimized platform capable of achieving up to 50× speedups in simulation performance, enabling real-time, energy-efficient modelling for complex multiscale flow phenomena relevant to coastal engineering. This position is central to advancing AI-augmented fluid dynamics and delivering an open, sustainable simulation tool for the research and engineering community.
Key Responsibilities
Development of AI-augmented CFD frameworks
Simulation of two-phase flows
Validate the numerical model with experimental or existing numerical work
Engage in interdisciplinary collaboration
Job Requirements
Bachelor degree or higher in Mechanical Engineering, Computational Science, Applied Mathematics, or a related field
Strong in critical thinking and problem-solving, with effective communication, teamwork, time management, and self-motivation skills
Strong foundation in CFD with proficiency in Python and AI/ML techniques, and experience in parallel computing tools such as CUDA and MPI
Experienced with CFD simulation tools (e.g., OpenFOAM, Ansys Fluent) is advantageous
Strong track record of peer-reviewed publications in relevant fields
Capable of developing novel computational strategies beyond traditional CFD paradigms, with enthusiasm for applying emerging AI techniques to engineering challenges
Be able to work at least 2 days each week
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution
NTU
Employment details
Seniority level: Entry level
Employment type: Part-time
Job function: Research, Analyst, and Information Technology
Industries: Higher Education
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