Fully Funded PhD Studentship for UK/EU Students at University of Edinburgh in UK, 2022

The award on offer is a fully-funded PhD with stipend, a robust three-and-a-half year training programme, and access to Scotland's resources through SGSAH’s strong links and national networks with our supporter organisations in the education, creative, cultural and heritage sectors.

In order to be considered for this funding, you will first need to secure a nomination from the University. This current call (deadline: 1 December 2022) is for prospective PhD students who plan to begin their studies in September 2023.

PhD programmes in Literatures, Languages and Cultures

The School of Literatures, Languages and Cultures (LLC) is delighted to consider applications from highly qualified candidates for SGSAH doctoral studentship awards in all our subjects.

• Table of Content
• About University of Edinburgh
• University of Edinburgh PhD Scholarship
• Aim and Benefits of University of Edinburgh PhD Scholarship
• Requirements for University of Edinburgh PhD Scholarship Qualification
• Application Deadline
• How to Apply

About University of Edinburgh

From Nobel laureates and Olympic champions to space explorers and prime ministers, the University of Edinburgh has been influencing history since it opened the gates to its first students in 1583. Following the Scottish Enlightenment of the 18th century, the University was positioned at the forefront of academia and critical thinking. Due to the determination and perseverance of a group of Edinburgh intellectuals, established facts about the world were being boldly and consistently challenged. Amid this group was David Hume, philosopher, economist and essayist known for his philosophi... continue reading

University of Edinburgh PhD Scholarship

Aim and Benefits of University of Edinburgh PhD Scholarship

• Full Funding, tuition fee as

Requirements for University of Edinburgh PhD Scholarship Qualification

• Only UK/EU based applicants are eligible to apply.
• Bachelor's degree (with Honours), preference will be given to Masters degree in Computer Science (or related field) with first class performance.

• Solid background in mobile communications and networks essential, and additionally in network security and applied machine learning preferred

• Applicant must be experienced in relevant research or industry work 

• Possess excellent system building and communication skills, and be able to work well in a team environment

Application Deadline

How to Apply

• Intrested applicants can apply by contacting Dr Mahesh Marina by e-mail, and submitt the following documents.
• Must submitt a detailed CV with names of two refrees. (Refrees will be contacted later for reference by the universities.
• Previous Degree Transcripts.