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University of Oxford

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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

This is a paid short course, not a funded studentship. Residential programme fee is £2,250 and includes tuition, accommodation in a single en suite room at Jesus College, meals, and the full social programme. Non-residential fee is £1,650 and includes tuition, meals, and the full social programme. No stipend or scholarship funding is mentioned.

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Expired

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United Kingdom

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University of Oxford

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Keywords

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

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

This is a paid short course, not a funded studentship. Residential programme fee is £2,250 and includes tuition, accommodation in a single en suite room at Jesus College, meals, and the full social programme. Non-residential fee is £1,650 and includes tuition, meals, and the full social programme. No stipend or scholarship funding is mentioned.

What's required

Applicants should be PhD students, postdocs, or early-career researchers, and the course is aimed at trainee scientists actively engaged in health data science research. Minimum requirement is a bachelors’ degree and current engagement in health data research. Applicants should be familiar with basic Python and R programming and bring their own laptop for computer practicals. A half-page cover letter and a recent CV are required, and applicants needing a UK visa should allow sufficient time for processing.

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