Publisher
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Anglia Ruskin University

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Fully Funded PhD in AI Persuasion, Harmful Responses, and Linguistics Anglia Ruskin University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position through the Cambridge Doctoral Training Partnership, an ESRC-funded programme supporting PhD research. The post states the position is fully funded; no stipend amount is given.

Deadline

Nov 15, 2026

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Country

United Kingdom

University

Anglia Ruskin University

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Keywords

Computer Science
Psychology
Political Science
Artificial Intelligence
Persuasion
Knowledge Exchange
Linguistics

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About this position

Fully funded PhD opportunity at Anglia Ruskin University via the Cambridge Doctoral Training Partnership (Cambridge DTP), an ESRC-funded doctoral programme.

The project is in linguistics and AI, asking whether AI systems can be persuaded into harmful or extremist responses. This is a strong fit for applicants interested in language, persuasion, radicalisation, and the interaction between human communication and machine behavior.

The post indicates that the successful applicant will join the team and may also benefit from knowledge exchange opportunities through Tamara Polajnar's network. Prospective applicants are encouraged to discuss the project with the supervisors before applying.

Application deadline: 15 November 2026.

How to apply: Email the supervisors to express interest and briefly outline your background, relevant experience, and any methods or skills you could bring. Then review the project/application details at the linked Cambridge DTP page and the attached information.

Funding: fully funded PhD; no stipend amount or additional financial breakdown is provided in the post.

Funding details

Fully funded PhD position through the Cambridge Doctoral Training Partnership, an ESRC-funded programme supporting PhD research. The post states the position is fully funded; no stipend amount is given.

What's required

Applicants should be interested in the project and able to discuss their fit with the supervisors before applying. The post asks candidates to briefly outline their interest, relevant experience/background, and any methods or skills they can bring. No specific degree class, language test, or technical prerequisite is stated in the post.

How to apply

Email Dr Vahid Parvaresh and Elisa Orofino to discuss the project before applying. Briefly describe your interest, relevant experience/background, and any methods or skills you can contribute. Review the project and application information via the linked Cambridge DTP page and the attached materials.

More information can be found here

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