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:

1.           Substantial research experience in computational fluid dynamics, with expertise in areas such as flow stability analysis, data-driven modelling, or flow control.

2.           Strong programming and numerical solver development skills, with proficiency in C++ and experience in parallel computing (MPI/OpenMP) and GPU-accelerated numerical simulations.

3.           A strong publication record in leading peer-reviewed journals in fluid mechanics, computational physics, or closely related fields.   

4.           A Ph.D. degree in hydraulic engineering, fluid mechanics, mechanical engineering, applied mathematics, or a related discipline.