Rashid Kamal
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Funded PhD in AI and Time Series Forecasting for Digital Healthcare at Ulster University Ulster University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 3, 2026
Country
United Kingdom
University
University of Ulster

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About this position
Funded PhD opportunity at Ulster University (Belfast Campus), School of Computing, in AI, digital healthcare, and time series analysis. The project is titled Time series analysis in the forecasting of trends in digital medical technologies and is supported by the Future Medicines Institute (FMI).
This studentship focuses on data- and knowledge-driven forecasting methods for emerging digital medical technologies and clinical trends. The research mentions natively fine-tuned Large Language Models (LLMs), multi-source healthcare signals, advanced forecasting architectures, and alignment with the Centre for Digital Healthcare Technology (CDHT) and Northern Ireland’s Future Medicines Institute ecosystem.
The position is a fully funded 3-year PhD with full tuition fees covered and a £21,805/year stipend. The preferred start date is 2 November 2026.
Applicants should hold, or expect to obtain, a First or Upper Second Class Honours degree (2:1) or a Master’s with Distinction in Computer Science, Data Science, AI, or a closely related discipline. Strong interest in time-series modeling, deep learning, LLMs, and digital health is preferred. Eligibility is restricted to UK/Irish nationals or those with settled/pre-settled status / indefinite leave to remain, with 3-year EEA/UK/Swiss residency.
Supervisory team: Prof. Chris Nugent, Dr. Rashid Kamal, Dr. Shuai Zhang, and Prof. Sumi Helal.
Apply via the Ulster University Doctoral College portal by 3 September 2026, 4:00 PM BST.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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