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  • Wednesday, September 22, 2021

  • CUI

  • International Office

Description:

The University of Surrey is providing the PhD International Studentship for the academic year 2022/2023. The main purpose of this programme is to provide a full tuition fees for those eligible students who are going to take part in a PhD degree at the university. The University of Surrey is a diverse community of creative and enthusiastic individuals. It has been educating students since 1966 as a research-intensive higher education institution. It is located in Guildford, England, in a unique and lovely site.

Course Level: PhD Degree

Grants: Tuition Fees and student stipend

Full tuition fee covered (UK, EU and international)

Stipend at 15,609 p.a. (2021/22)

RTSG of £1,000 p.a.

Subjects: To be eligible, the applicants must hold a bachelor’s degree or above in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics or similar (a First Class or good Upper Second Class Honors degree, or the equivalent from an overseas university).

How to Apply: For taking advantage of this bursary, aspirants are recommended to take admission in the PhD degree at the university. After taking confirmation, seekers can complete the application form for this grant.

· Supporting Documents: You must 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).

· Admission Requirements: Applying at the University, claimants need to meet the minimum entry requirements.

· Language Requirement: 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).

Deadline: November 15, 2021

For further more information please click the given below official link: https://www.surrey.ac.uk/fees-and-funding/studentships/uncertainty-quantification-robust-ai-through-optimal-transport