Qinmin Zheng
2 months ago
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Postdoc Position in Deep Learning/Data Assimilation and Turbulence Beihang University in China
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time postdoctoral appointment for two years with a salary of 320,000–400,000 RMB per year depending on expertise. The position includes complementary health insurance in addition to social security. Two positions are available and there are no teaching duties.
Deadline
Expired
Country
China
University
Beihang University
Suggested positions
Keywords
About this position
Beihang University’s Computational Physics & Data Science Research Group at the Hangzhou International Innovation Institute is inviting applications for postdoctoral positions in Deep Learning/Data Assimilation and Turbulence.
The role is a full-time, two-year postdoc with 2 positions available. The advertised salary is 320,000–400,000 RMB per year, depending on the candidate’s expertise. No teaching duties are required.
Research interests include computational fluid dynamics, turbulence, fluid mechanics, aerodynamics, deep learning, and data assimilation. The group is looking for candidates with strong high-fidelity computation and analysis skills, plus programming ability in Fortran, C++, or Python.
Eligibility highlights: applicants should have defended their PhD thesis less than 3 years before the job offer date and hold a PhD in CFD, deep learning/data assimilation, or a related field.
Additional benefits include a friendly international work environment and complementary health insurance alongside social security.
To apply, email your CV and cover letter to [email protected]. The cover letter should explain your interest and suitability, and the CV should include a publication list. Applications are open until 2026-06-30.
Funding details
Full-time postdoctoral appointment for two years with a salary of 320,000–400,000 RMB per year depending on expertise. The position includes complementary health insurance in addition to social security. Two positions are available and there are no teaching duties.
What's required
Applicants should have defended their PhD thesis less than 3 years before the job offer date. A PhD in Computational Fluid Dynamics, Deep Learning/Data Assimilation, or a related field is required. Candidates should be proficient in Fortran, C++, or Python and have strong experience in high-fidelity computation and analysis of turbulence or in applying deep learning/data assimilation methods in fluid mechanics or aerodynamics.
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Professors
Associate Professor
China
Research Interests
Aerospace Engineering
Aerodynamics
Turbulence
Data Assimilation
Computer Science
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.