Job Title: Research Fellow (AI for flow and transport phenomena)
University-Level Unit: College of Design and Engineering
Faculty/Department-Level Unit: Mechanical Engineering
Employee Category: Research Staff
Location_ONB: Kent Ridge Campus
Posting Start Date: 16/10/2026
Job Description
The candidate will develop deep-learning frameworks and foundation models for transport phenomena across a wide range of spatial and temporal scales.
Qualifications
Job Requirements:
- Substantial research experience in computational fluid dynamics, with expertise in areas such as flow stability analysis, data-driven modelling, or flow control.
- Strong programming and numerical solver development skills, with proficiency in C++ and experience in parallel computing (MPI/OpenMP) and GPU-accelerated numerical simulations.
- A strong publication record in leading peer-reviewed journals in fluid mechanics, computational physics, or closely related fields.
- A Ph.D. degree in hydraulic engineering, fluid mechanics, mechanical engineering, applied mathematics, or a related discipline.
Req ID: 34687