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Machine Learning of Wearables in Large-Scale Biomedical Studies Short Course at University of Oxford University of Oxford in United Kingdom

Degree Level

not provided

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 30, 2026

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Country

United Kingdom

University

University of Oxford

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Keywords

Computer Science
Data Science
Biomedical Engineering
Physical Activity
Medical Science
Salud Pública
Statistics
Machine learning

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About this position

Applications are open for the Machine Learning of Wearables in Large-Scale Biomedical Studies short course at the University of Oxford, hosted through Oxford Lifelong Learning and taught with experts from the Big Data Institute and the Nuffield Department of Population Health.

This immersive post-graduate course is designed for PhD students, postdocs, and early-career researchers working in wearables, machine learning, health data science, and related biomedical research areas. The programme focuses on real-world validation, time-series machine learning, accelerometer data cleaning, open datasets, self-supervised learning, epidemiological analysis, and the discovery of digital biomarkers.

Teaching includes daily lectures, interactive computer sessions, hands-on practicals, and opportunities for one-to-one interaction with Oxford academics and invited speakers. The course is held at Jesus College, Oxford, and includes a certificate of attendance and a digital badge.

Eligibility highlights: applicants should have at least a bachelors’ degree, be actively engaged in health data research, and ideally be comfortable with basic Python and R. Participants should bring their own laptops for the practical sessions.

Funding/fees: this is a fee-paying short course rather than a funded position. Residential fees are £2,250 and include tuition, accommodation, meals, and the social programme. Non-residential fees are £1,650 and include tuition, meals, and the social programme.

Application deadline: 30 July 2026 at 12:00 BST. Applicants must submit a completed application form, a half-page cover letter, and a recent CV. Visa applicants are advised to allow enough time for processing.

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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