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Ben Williamson

Top university

11 months ago

Fully Funded PhD Studentships in Responsible and Trustworthy Natural Language Processing (NLP) at University of Edinburgh University of Edinburgh in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

All studentships are fully funded, covering tuition fees and an annual stipend. Home fees students receive an enhanced stipend of £30,780 per year (UKRI rate of £20,780 plus £10,000 TechExpert supplement) for four years. Overseas students receive the standard UKRI stipend (£20,780). Additional support includes approximately £17,000 for travel, equipment, and materials, £8,000 for placements, and further funding for compute and hosting costs. Placements and internships with partners are available

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Edinburgh

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Keywords

Computer Science
Education
Psychology
Information Technology
Artificial Intelligence
Philosophy
Natural Language Processing
Law
Digital Learning
Linguistics
Interdisciplinary Research
Trustworthy Ai
Responsibleai
Human Computer Interaction
Ethics In Ai

About this position

The UKRI AI Centre for Doctoral Training (CDT) in Responsible and Trustworthy Natural Language Processing at the University of Edinburgh is now accepting applications for fully funded PhD studentships starting in September 2026. This unique programme, hosted by the Edinburgh Futures Institute, is designed to train the next generation of researchers in responsible and trustworthy NLP, with a strong interdisciplinary focus spanning computer science, linguistics, philosophy, psychology, law, education, and information technology.

Students will join a vibrant research community and benefit from supervision by leading academics including Ben Williamson, Cara Wilson, Jen Ross, Judy Robertson, and Sian Bayne, as well as a broad team of interdisciplinary supervisors. The programme is ideal for applicants interested in tackling critical issues posed by AI, especially in the context of education, ethics, and real-world applications of NLP.

The four-year PhD includes integrated training with credit-bearing courses in research methods, interdisciplinary teamwork, ethical dimensions of data and AI, and analysis of real-world NLP applications. Students will also undertake a training needs analysis to tailor their learning and have access to a wide range of courses across the University of Edinburgh. The CDT offers opportunities for placements and internships with over 70 partner organizations, as well as training in public engagement, entrepreneurship, and policy development.

Funding is comprehensive: all studentships cover tuition fees and provide an annual stipend. Home fees students receive an enhanced stipend of £30,780 per year (UKRI rate plus TechExpert supplement), while overseas students receive the standard UKRI stipend. Additional support is available for travel, equipment, materials, placements, and computing resources.

Applicants should have at least a 2:1 undergraduate or Master’s degree in a relevant field, or demonstrate equivalent professional experience. The application does not require a detailed research proposal or a confirmed supervisor; instead, applicants should outline their background, research interests, and potential supervisors. The deadline for applications is January 7, 2026. For more information, including application instructions and upcoming webinars, visit the Responsible NLP CDT website.

Funding details

All studentships are fully funded, covering tuition fees and an annual stipend. Home fees students receive an enhanced stipend of £30,780 per year (UKRI rate of £20,780 plus £10,000 TechExpert supplement) for four years. Overseas students receive the standard UKRI stipend (£20,780). Additional support includes approximately £17,000 for travel, equipment, and materials, £8,000 for placements, and further funding for compute and hosting costs. Placements and internships with partners are available

What's required

Applicants should have at least a 2:1 (upper second class) undergraduate and/or a Master’s degree in a relevant subject such as computer science, informatics, artificial intelligence, design, human computer interaction, linguistics, speech sciences, law, governance, regulation, digital humanities, or information science. Applicants from other backgrounds with relevant skills and expertise are also encouraged to apply. Professional experience or research posts may be considered in lieu of formal qualifications. No detailed research proposal or confirmed supervisor is required at application stage. Overseas applicants are eligible but will receive standard UKRI stipend only. English language requirements apply as per University of Edinburgh standards.

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Professors

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University Name
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United Kingdom

Research Interests

Educational Technology

Artificial Intelligence

Education

Teaching And Learning

Digital Competence

Professor

University Name
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United Kingdom

Research Interests

Law

Artificial Intelligence

Responsibleai

Psychology

Philosophy

Professor

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Law

Digital Learning

Education

Interdisciplinary Research