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School of Electronic Engineering and Computer Science

Newly awarded Wellcome Trust-funded PhD Programme open for applications

We are excited to announce that the newly awarded Wellcome Trust-funded ‘Health Data in Practice’ PhD Programme is now open for applications.

PHD Students
PHD Students

Our Wellcome-funded doctoral training programme applies human-centred data research to health and care data, and will introduce you to a wider context for your research, enabling you to draw on concepts, disciplines and methods underpinning algorithmic designs, sensing and data capture, human-interactions, qualitative and quantitative evaluation and decision-making, in real-world settings. You will develop as a future scientific leader able to apply interdisciplinary perspectives to your research and realise the potential of innovations in health data research for the benefit of patients, the public, health care systems, and society.

The Wellcome Trust Health Data in Practice programme combines scientific excellence with a commitment to improving the working environment and transition support for trainees. We commit to being part of an evolving community of practitioners who will develop and share practice to bring science and culture together, placing both firmly at the heart of what we do.

Why apply?

  • Our trainees will gain an ‘in-practice’ context to their health data science research in the form of an MRes in Health Data in Practice in the first year
  • Access to data in real-world settings through strong NHS and data science partnerships
  • An inter-disciplinary supervisor pool spanning life, population, computer and clinical sciences as well as the arts and humanities
  • Access to innovative and extensive career development opportunities and career transition support
  • Funded MRes and PhD studentship including Home/EU tuition fees, research and training costs

Who are we looking for?

  • Graduates who are expected to hold or to obtain at least an upper second class degree (or equivalent for EU and overseas candidates) in a relevant subject area, including but not limited to statistics, computer sciences, mathematics, psychology, bioinformatics, biomedical sciences and qualitative disciplines including but not confined to anthropology, ethnography, social sciences
  • Successful candidates will display their passion for a career in research, good communication skills and scientific knowledge of the field

For more information and to register your interest please visit our webpage.




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