Publisher
source

University of Oxford

Top university

Fully Funded DPhil Studentships in Sports Medicine, Engineering, and Technology at University of Oxford (2026) University of Oxford in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The studentship is fully funded for both UK and overseas students. University course fees are covered at the UK (£10,470 for 2026-27) or overseas (£34,700 for 2026-27) rate. A tax-free stipend of approximately £22,780 (2024-25 rate) is provided for the first year, with at least this amount for the following three years.

Deadline

Dec 2, 2026

Country flag

Country

United Kingdom

University

University of Oxford

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Keywords

Computer Science
Data Science
Sports Medicine
Injury Prevention
Biomedical Engineering
Mechanical Engineering
Materials Science
Virtual Reality
Wearable Technology
Medical Science
Magnetic Resonance Imaging
Robotics
Advanced Imaging
Machinelearning
Biomechanics,
Youth Athletes
Engineering Sciences
Prediction

About this position

The Podium Institute for Sports Medicine and Technology at the University of Oxford is now accepting applications for fully funded 3.5-year DPhil (PhD) studentships starting in October 2026. These prestigious studentships are open to both UK and international applicants and are based within the Institute of Biomedical Engineering, Department of Engineering Science. The Podium Institute is dedicated to advancing research in sports medicine, engineering, and technology, with a special focus on the safety and lifelong health of youth, grassroots, and professional athletes.

Students will have the opportunity to work with leading supervisors from both Engineering Science and Medical Sciences, contributing to innovative projects in areas such as biomechanics, AI-driven prediction, wearable and robotic technologies, advanced imaging, and data science. Research topics include injury prevention, multiphysics and data-driven modelling of traumatic brain injury, experimental characterization of soft biological materials, computer-vision-based injury detection, development of robotic simulators for PPE testing, functional materials for impact absorption, wearable assistive robotics, haptic interfaces in virtual reality, and the use of big data and machine learning to understand and predict sports injuries.

The studentships cover full university fees (UK: £10,470; Overseas: £34,700 for 2026-27) and provide a tax-free stipend of approximately £22,780 per year for at least three years. Applicants must hold a first-class or strong upper second-class undergraduate degree in engineering, physical sciences, or medical sciences, and demonstrate excellent English communication skills. Experience in experimental or computational research, as well as programming skills in MATLAB or Python, are desirable but not required. Candidates must submit a research proposal related to the Podium Institute's priority areas and meet the University of Oxford's graduate admissions criteria.

Applications should be submitted through the University of Oxford graduate admissions portal, quoting reference 26ENGBI_CC. The main deadline for most Oxford scholarships is 2 December 2025, with applications remaining open until 3 March 2026 if places are available. Informal enquiries are encouraged and can be directed to [email protected]. For more information on research areas, supervisors, and application procedures, visit the Podium Institute's studentships page.

The Podium Institute values diversity and inclusion, welcoming students from a wide range of academic backgrounds. Join a vibrant research community dedicated to making sports safer for everyone through cutting-edge science and technology.

Funding details

The studentship is fully funded for both UK and overseas students. University course fees are covered at the UK (£10,470 for 2026-27) or overseas (£34,700 for 2026-27) rate. A tax-free stipend of approximately £22,780 (2024-25 rate) is provided for the first year, with at least this amount for the following three years.

What's required

Applicants must have a first-class or strong upper second-class undergraduate degree with honours in engineering, physical sciences, or medical sciences relevant to the proposed research area. Excellent English written and spoken communication skills are required. Candidates should demonstrate a strong interest and enthusiasm for sports medicine and technology. Desirable but not essential skills include experience in experimental or computational research in sports medicine and technology, as evidenced by publications or a first-class final year project, and programming ability in MATLAB or Python. Applicants must meet the University of Oxford graduate admissions criteria and submit a research proposal related to the Podium Institute's priority areas.

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Professors

Professor

University Name
Country flag

United Kingdom

Research Interests

Medical Imaging

Cardiology

Magnetic Resonance Imaging

Angiography

Blood Flow

Associate Professor

University Name
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United Kingdom

Research Interests

Neuropsychology

Sports Medicine

Computer Science

Biomedical Engineering

Mechanical Engineering

Prof.

University Name
Country flag

United Kingdom

Research Interests

Immunology

Sports Medicine

Cancer Therapy

Prediction

Data Science

Prof.

University Name
Country flag

United Kingdom

Research Interests

Tissue Engineering

Solid Mechanics

Stretchable Electronics

3d Printing

Robotics

Prof.

University Name
Country flag

United Kingdom

Research Interests

Sports Medicine

Youth Athletes

Robotics

Materials Science

Machinelearning

Prof.

University Name
Country flag

United Kingdom

Research Interests

Sports Medicine

Biomechanics,

Youth Athletes

Wearable Technology

Computer Science

Prof.

University Name
Country flag

United Kingdom

Research Interests

Sports Medicine

Engineering Sciences

Prediction

Youth Athletes

Virtual Reality

Prof.

University Name
Country flag

United Kingdom

Research Interests

Sports Medicine

Advanced Imaging

Prediction

Mechanical Engineering

Materials Science

Prof.

University Name
Country flag

United Kingdom

Research Interests

Sports Medicine

Wearable Technology

Virtual Reality

Robotics

Machinelearning

Prof.

University Name
Country flag

United Kingdom

Research Interests

Sports Medicine

Robotics

Biomedical Engineering

Magnetic Resonance Imaging

Data Science

Prof.

University Name
Country flag

United Kingdom

Research Interests

Sports Medicine

Magnetic Resonance Imaging

Data Science

Advanced Imaging

Medical Science

Professor of Clinical Machine Learning

University Name
Country flag

United Kingdom

Research Interests

Sports Medicine

Engineering Sciences

Biomedical Engineering

Machinelearning

Biomechanics,

Prof.

University Name
Country flag

United Kingdom

Research Interests

Neuropsychology

Systems Neuroscience

Vestibular Rehabilitation

Visual Impairment

Brain Connectivity