Identification of key features in high-dimensional fluid flow

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 maoxuerui@sina.com.