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CFD Jobs Database - Job Record #17218

Job Record #17218
TitlePostdocs: Machine-learning-based flow control
CategoryPostDoc Position
EmployerThe Hong Kong Polytechnic University
LocationChina, Hong Kong
InternationalYes, international applications are welcome
Closure Date* None *
Description:
Department of Mechanical Engineering, The Hong Kong Polytechnic University 
is offering positions of postdoctoral fellow. Successful applicants will 
study machine-learning-based flow control either numerically or 
experimentally.

Required qualifications:
- PhD degree in engineering, applied mathematics, physics, computer science 
or related field
- Strong background in fluid-structure interaction or flow control
- Good knowledge and hands-on experiences in machine learning (deep-
reinforcement learning preferred)
- Good written and oral communication skills
- Good publication record

Preferred skills and experiences in numerical modelling:
- Excellent computational skills in CFD programming (CUDA C preferred)
- Strong experience in lattice Boltzmann method
- Experience with parallel computing (e.g., MPI)
- Experience in finite element modelling and immersed boundary method

Preferred skills and experiences in experiments:
- Experience with wind/water tunnel experiments
- Strong experience in PIV measurements

Interested applicants are invited to send detailed CV with publication list 
and contact information of two references to Dr Hui Tang via 
h.tang@polyu.edu.hk.
Contact Information:
Please mention the CFD Jobs Database, record #17218 when responding to this ad.
NameHui Tang
Emailh.tang@polyu.edu.hk
Email ApplicationYes
Record Data:
Last Modified10:16:00, Friday, July 02, 2021

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