Luke Dickens
11 months ago
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PhD Studentships in Information Studies, Machine Learning, and AI at University College London University College London in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
No explicit funding details are provided in the post. Please refer to the linked project catalogue or departmental website for information on funding, stipend, and tuition coverage.
Deadline
Expired
Country
United Kingdom
University
University College London
Suggested positions
Keywords
About this position
The KIDS research group at University College London (UCL) is offering three new PhD studentship opportunities in the Department of Information Studies. The projects are supervised by Luke Dickens, Associate Professor in Machine Learning, along with colleagues Antonis Bikakis and Vasileios Routsis. Research topics include computational argumentation for detecting fallacies in text, next-generation information fusion for robust AI, and recursive multi-agent systems for data discovery. These projects are ideal for candidates interested in machine learning, artificial intelligence, and information studies.
Applicants should have a strong background in computer science, information studies, or a related discipline, and demonstrate interest or experience in AI, machine learning, or computational argumentation. The department offers a vibrant research environment and access to cutting-edge resources. For more information about the projects and application process, visit the Information Studies project catalogue or the departmental website. The closing date for applications is January 5, 2026.
For further details, please refer to the provided links. Funding and stipend information may be available on the departmental website or project catalogue. Prospective students are encouraged to apply early and contact the supervisors if they have specific questions about the projects.
Funding details
No explicit funding details are provided in the post. Please refer to the linked project catalogue or departmental website for information on funding, stipend, and tuition coverage.
What's required
Applicants should have, or expect to obtain, a strong undergraduate or master's degree in computer science, information studies, or a related field. Experience or interest in machine learning, artificial intelligence, or computational argumentation is desirable. Additional requirements such as English language proficiency may apply as per university guidelines.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Associate Professor in Machine Learning
United Kingdom
Research Interests
Epistemology
Human-robot Interaction
Logic Programming
Game-based Learning
Alcohol Use
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.