Two fully funded PhD scholarships in statistical machine learning at the University of Surrey, UK

[liy...@gmail.com]

Dear All,

The University of Surrey is offering two fully funded PhD studentships on the broad topics of statistical machine learning. One studentship is on the topic of differentiable particle filters for data-driven sequential inference, with industry partner National Physical Laboratory (NPL) and a secondment for at least three months in the Data Science Department of NPL in the duration of the PhD programme. The other PhD studentship is on the topic of Bayesian deep learning and its application on the AI for health domain. Students will be supervised by Dr Yunpeng Li in the Department of Computer Science and co-supervised by Professor Wenwu Wang in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey.

The PhD students will be based at the Nature Inspired Computing and Engineering (NICE) research group in the Department of Compute Science at the University of Surrey. The student will also benefit from resources from CVSSP and the Surrey Institute for People-Centred AI.

Entry requirements

A Bachelor’s degree or above in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics or similar (a First Class or good Upper Second Class Honours degree, or the equivalent from an overseas university).

English language requirements: IELTS Academic 6.5 or above (or equivalent) with 6.0 in each individual category.

Funding 

Full UK/EU/International tuition fees covered for 3.5 years. Stipend at £15,609 p.a. (2021/22) for 3.5 years. Research Training Support Grant of £1,000 p.a. and Personal Computer (provided by the department).

How to apply 

Applications should be submitted via the Computer Science programme page on the "Apply" tab.

Please state clearly the studentship project at you would like to apply for.

Please prepare to submit your CV; degree certificates and transcripts; names of 2 referees (ideally uploading 2 references at time of application also); and research proposal (including examples of previous project work).

Closing date for applications 

The studentships are available for April, July, October 2022 and January, April, July 2023 start. Early application is encouraged as applications will be reviewed on a rolling basis.

Application enquiries 

For application enquiries, please contact Dr Yunpeng Li (yunpe...@surrey.ac.uk).