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Beihang University

Postdoc in Deep Learning, Data Assimilation, and Turbulence at Beihang University Beihang University in China

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral appointment for two years. Salary is 300,000–360,000 RMB per year depending on expertise. The position includes a complementary health insurance scheme in addition to social security. No teaching duties.

Deadline

Dec 30, 2026

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Country

China

University

Beihang University

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Keywords

Computer Science
Aerodynamics
Mechanical Engineering
Deep Learning
Aerospace Engineering
Mathematics
Fluid Mechanics
Turbulence
Data Assimilation
Programming Language
Physics

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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 salary is 300,000–360,000 RMB per year, depending on the candidate’s expertise. There are no teaching duties.

Applicants should have defended their PhD less than 3 years before the job offer date and hold a PhD in Computational Fluid Dynamics, Deep Learning/Data Assimilation, or a related field. Strong programming skills in Fortran, C++ or Python are required, along with experience in high-fidelity computation and analysis of turbulence or the application of deep learning/data assimilation methods in Fluid Mechanics or Aerodynamics.

The position is based in Hangzhou, China. The group describes the environment as international and equitable, and offers a complementary health insurance scheme plus social security, as well as flexible working arrangements.

To apply, email your CV and covering letter to [email protected]. The cover letter should explain your interest and suitability for the post, and the CV should include your publication list. Applications are open until 2026-12-30.

Funding details

Full-time postdoctoral appointment for two years. Salary is 300,000–360,000 RMB per year depending on expertise. The position includes a complementary health insurance scheme in addition to social security. 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 experience with high-fidelity computation and analysis of turbulence or with deep learning/data assimilation methods in fluid mechanics or aerodynamics.

How to apply

Send your CV and covering letter by email to [email protected]. Include a cover letter describing your interest and suitability for the post and a full CV with your publication list.

More information can be found here

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