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.

<p>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, Antonis Bikakis, and Vasileios Routsis, and cover cutting-edge topics such as computational argumentation, information fusion for robust AI, and recursive multi-agent systems for data discovery. UCL is a world-leading institution located in the United Kingdom, and the Information Studies department is renowned for its interdisciplinary research at the intersection of computer science, information technology, and artificial intelligence.</p><p>Available projects include: (1) Detecting Fallacies in Argumentative Text with Computational Argumentation, (2) Fusing Judgment and Prediction: Next-Generation Information Fusion for Robust AI, and (3) Recursive Multi-Agent Systems for Data Discovery. These projects offer an excellent opportunity for students interested in advanced research in AI, machine learning, and information studies.</p><p>Applicants should have a strong background in computer science, information studies, or a related field, and demonstrate interest or experience in machine learning, artificial intelligence, or computational argumentation. Proficiency in programming and analytical skills is desirable. English language proficiency is required as per UCL standards.</p><p>The closing date for applications is 5th January 2026. For more information about the projects and application process, please visit the provided project catalogue link. Funding details are not specified in the announcement; applicants are encouraged to consult the departmental website or contact the supervisors for further information.</p><p>To apply, review the available projects, prepare your application materials, and submit your application before the deadline. This is a unique opportunity to join a vibrant research community at UCL and contribute to innovative research in information studies and AI.</p>