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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 available

Deadline

Sep 3, 2026

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Country

United Kingdom

University

University of Ulster

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Keywords

Computer Science
Data Science
Biomedical Engineering
Information Technology
Deep Learning
Mathematics
Artificial Intelligence
Medical Technology
Time Series Analysis
Forecasting
Digital Health
Medical Science
Statistics
Large Language Models
ML

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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.

More information can be found here

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