Publisher
source

Prof X Mao

1 year ago

Identification of key features in high-dimensional fluid flow Beijing Institute of Technology in China

Degree Level

PhD

Field of study

Computer Science

Funding

Fully Funded

Deadline

Expired

Country flag

Country

China

University

Beijing Institute of Technology

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Where to contact

Official Email

Keywords

Computer Science
Data Science
Machine Learning
Mechanical Engineering
Aerospace Engineering
Mathematics
Statistical Analysis
Artificial Intelligence
Mathematical Modeling
Fluid Mechanics
Energy Engineering
Computational Mathematics
Modal Analysis
Technical Engineering
Energy Sector
Imagery
Energy Resources

About this position

Prof. Xuerui Mao’s research group at Beijing Institute of Technology (BIT) is recruiting a PHD student on data science related with high-dimenional fluid flow, with potential topics depending on the expertise and interest of the candidate:

1) Modal decomposition and identification of patterns in complex fluid dynamics

2) Image-based techniques on the optimization of design parameters

3) Assimilation (e.g. fusion, regeneration) of high-dimentional data.

The research group maintains extensive collaborations with overseas universities, e.g. Imperial College London, University of Nottingham, Oxford University, KTH, Johns Hopkins University and there are regular mutual exchanges of researchers for each of the topic above. The group has been funded by research councils and major industries in aerospace engineering and energy in the UK, EU and China. More information of the group can be found at https://mao-lab.com .

BIT is located in the centre of Beijing, and despite its small size, it is in the first groups of national higher education projects “211” and “985”, among a few other giant universities. For international candidates, the university and the group will offer assistance in accommodation and settle down, and it is totally comfortable to speak English in the campus.

If you have interest, please send your CV and two references to .

Funding details

Fully Funded

How to apply

Send CV and two references to [email protected]

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