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Post-Doctoral Research Fellow

The University of Edinburgh - CMVM / Usher Institute / CMI

Location: Edinburgh
Salary: £35,333 to £42,155 Grade UE07, per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 1st February 2023
Closes: 28th February 2023
Job Ref: 6402
 

Fixed Term Contract - Available from 1 June 2023 to 31 May 2025; Full Time - 35 Hours Per Week.

The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a Postdoctoral Research Fellow to work with an interdisciplinary team of researchers on the implications of artificial intelligence (AI) for healthcare practitioners, practices and organisations.

The Opportunity:

Applications are invited for a Postdoctoral Research Fellow to work on an exciting research project examining the implications of artificial intelligence (AI) for healthcare. The project focuses on the real-world effects of AI on clinicians (e.g., tasks, roles, skills, expertise), practices (e.g., diagnostic workflows, care delivery pathways) and the healthcare system.

The two-year, full-time position offers an opportunity to work closely with Dr Luciana D’Adderio (the project’s Principal Investigator) and her extended multidisciplinary team including experts in the Social Sciences (Business/Management, Organization Science/Studies, Information Systems, Healthcare Innovation), Artificial Intelligence and Medicine.

The Postdoctoral Fellow will be based at the University of Edinburgh’s Usher Institute, a leading academic innovation hub combining a strong interdisciplinary research culture, an unrivalled focus on AI and data-driven innovation for medicine and healthcare, and an emphasis on state-of-the-art research and real-world impacts.

Informal enquiries may be directed to Dr Luciana D’Adderio, Chancellor’s Fellow in Data Driven Innovation and Turing Fellow (l.d-adderio@ed.ac.uk).

Your skills and attributes for success:

  • Applicants must have completed (or be close to completing) a Ph.D. in Business, Management or related social science discipline (e.g., Sociology, Science and Technology Studies).
  • Applicants must have completed (or be close to completing) a Ph.D. in Business, Management, Organisation Theory or related Social Science discipline (e.g., Innovation, Science and Technology Studies, Information Systems, Sociology)
  • Experience of or willingness to engage in interdisciplinary academic teams and activities as well as with a range of stakeholders, including industry and government partners
  • Designing and conducting empirical qualitative research including collecting, managing and analysing data from ethnographic observations, interviews and focus groups.
  • Excellent academic record and work ethic.
  • Excellent organizational and oral/written communication skills.
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