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Two PhD Fellowships in Medical Science and Technology Studies / Medical Anthropology at the University of Copenhagen University of Copenhagen in Denmark
Degree Level
PhD
Field of study
Anthropology
Funding
Fully funded three-year PhD fellowships. Salary, pension, and employment terms follow the Danish academic agreement; monthly salary begins around 29,691 DKK plus pension depending on seniority.
Deadline
Sep 7, 2026
Country
Denmark
University
University of Copenhagen

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About this position
Two fully funded PhD fellowships are available at the Centre for Medical Science and Technology Studies (MeST), Department of Public Health, University of Copenhagen, Denmark. The projects sit at the intersection of medical anthropology, medical science and technology studies, public health, and the social study of artificial intelligence in healthcare.
The fellowships are part of the Carlsberg Foundation Semper Arden Accelerate-funded project PATHWAYs of precision: AI-driven predictions in neurocognitive and mental illness. The two PhD projects will examine how predictive AI tools are used in healthcare: one project focuses on dementia diagnostics, and the other on treatment of mental illness. The research uses ethnographic methods, including participant observation in clinical settings, qualitative interviews with healthcare professionals, patients, and biomedical/bioinformatics scientists, plus document analysis of policy papers and clinical guidelines.
Applicants should have a relevant academic background in anthropology, ethnology, public health, sociology, or a related field. The ad emphasizes experience or training in ethnography, strong theoretical interest in the social, ethical, and organizational implications of digital and data-intensive medical technologies, and good communication skills in English and Danish. For fieldwork, Danish language skills are required. Applicants must not already be enrolled as PhD students at the Faculty of Health and Medical Sciences, University of Copenhagen.
The position is a 3-year PhD appointment starting 1 January 2027 or as soon as possible thereafter. It is fully funded, with salary, pension, and employment terms according to Danish academic agreements; the monthly salary starts around 29,691 DKK plus pension depending on seniority.
To apply, submit the application electronically through the university portal and include a cover letter, motivation letter with a short project outline, CV, diplomas and transcripts, publication list if possible, a writing sample, and two references. You may apply for one or both subprojects. Deadline: 7 September 2026, 23:59 CET.
Funding details
Fully funded three-year PhD fellowships. Salary, pension, and employment terms follow the Danish academic agreement; monthly salary begins around 29,691 DKK plus pension depending on seniority.
What's required
Applicants need a relevant academic degree in anthropology, ethnology, public health, sociology, or a closely related subject. For Denmark-trained applicants, admission requires a relevant master's degree; for applicants educated abroad, a degree equivalent to a Danish master's degree or at minimum a bachelor's degree equivalent to a Danish bachelor's degree plus academic qualification at master's level. Candidates should have experience or training in ethnographic methods such as participant observation and qualitative interviews, strong interest in theoretical development in medical science and technology studies/medical anthropology, good written and spoken English, and Danish language skills for fieldwork. Applicants must not already be enrolled as a PhD student at the Faculty of Health and Medical Sciences, University of Copenhagen. Strong grades, relevant professional qualifications, other professional activities, curiosity, and collaboration skills are valued.
How to apply
Apply electronically via the university's 'Apply now' portal. Submit the required PDF documents in English: cover letter, motivation letter with a short project outline, CV, diplomas and transcripts, publication list if possible, a writing sample, and names and email addresses of two references. Indicate whether you are applying for one or both subprojects.
More information can be found here
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