University of Surrey 2021 Uncertainty Quantification for Robust AI through Optimal Transport

Getting a degree is always beneficial in a career, but it can be difficult with some financial barriers. To cover study expenses, the University of Surrey is providing the Uncertainty Quantification for the academic year 2022/2023.

• Table of Content
• About University of Surrey
• Uncertainty Quantification
• Aim and Benefits of Uncertainty Quantification
• Requirements for Uncertainty Quantification Qualification
• Application Deadline
• How to Apply

Uncertainty Quantification

Aim and Benefits of Uncertainty Quantification

• Full tuition fee covered (UK, EU and international)
• Stipend at 15,609 p.a. (2021/22) 
• RTSG of £1,000 p.a. 
• Personal Computer (provided by the department) 

Requirements for Uncertainty Quantification Qualification

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).

This studentship is for UK, EU and overseas students. Overseas (non-UK/EU) students will need to fund the international tuition fee difference themselves.

IELTS requirements: If English is not your first language, you will be required to have an IELTS Academic of 6.5 or above (or equivalent), with no sub-test score below 6.  

Application Deadline

How to Apply

Please click ‘Apply’ on the Computer Science PhD page.

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). 

For more details, visit University of Surrey website.