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Tuğrulcan Elmas

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1 month ago

Fully-Funded PhD in LLMs and Social Media Misinformation at University of Edinburgh University of Edinburgh in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded, covering tuition fees and providing a stipend. Specific stipend amount and further financial details are not mentioned.

Deadline

Sep 1, 2026

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Country

United Kingdom

University

University of Edinburgh

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Where to contact

Official Email

Keywords

Computer Science
Information Technology
Artificial Intelligence
Social Media
Misinformation
Informatic
Large Language Models
Machine learning

About this position

The School of Informatics at the University of Edinburgh is offering a fully-funded PhD studentship under the supervision of Assistant Professor Tuğrulcan Elmas. This opportunity is focused on cutting-edge research at the intersection of large language models (LLMs), social media, and misinformation. The successful candidate will join a vibrant research environment and contribute to advancing the understanding and mitigation of misinformation on digital platforms using AI and machine learning techniques.

Key research areas include the development and application of LLMs to analyze, detect, and counteract misinformation on social media. The project is ideal for students interested in artificial intelligence, informatics, and the societal impacts of technology. The University of Edinburgh is a world-renowned institution, providing access to excellent resources and a collaborative academic community.

The position is fully funded, covering tuition and providing a stipend. Applicants should have a strong background in computer science, informatics, or a related discipline, with demonstrated interest or experience in LLMs, social media, and misinformation. Strong programming skills and a passion for research in AI or machine learning are highly desirable. English language proficiency is required as per university standards.

The start date is September 2026 or earlier if feasible. Interested candidates should contact Assistant Professor Tuğrulcan Elmas directly via email for application details and queries. Applications will be initially reviewed by the supervisor before further processing. This is an excellent opportunity for motivated students to engage in impactful research at a leading UK institution.

Funding details

The position is fully funded, covering tuition fees and providing a stipend. Specific stipend amount and further financial details are not mentioned.

What's required

Applicants should have a strong background in computer science, informatics, or a related field, with experience or interest in large language models, social media, and misinformation. A relevant undergraduate or master's degree is required. Strong programming skills and research interest in AI or machine learning are preferred. English language proficiency is necessary as per university requirements.

How to apply

Contact Tuğrulcan Elmas directly via email with your application or queries. Applications will be reviewed by the announcer before further processing. Prepare your CV and relevant documents for submission.

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