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Linnaeus University

Postdoctoral Researcher in AI, Professional Knowledge and the Sociology of Medicine Linnaeus University in Sweden

Degree Level

Postdoc

Field of study

Sociology

Funding

The postdoctoral fellowship is a full-time position for a maximum of three years. No salary, stipend, tuition coverage or other financial amount is specified in the advert.

Deadline

Jan 6, 2027

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Country

Sweden

University

Linnaeus University

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Keywords

Sociology
Artificial Intelligence
Medical Science
Professional Practice
Professional Identity
Autonomous System

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About this position

Linnaeus University is recruiting a postdoctoral researcher for a sociology project on how artificial intelligence and autonomous systems are reshaping professional knowledge in the medical profession.

The project focuses on physicians and the transformation of medical expertise, professional judgment, autonomy, ethics, accountability and responsibility as clinical knowledge becomes increasingly codified, stored and processed by AI. It will investigate how AI affects routine work as well as complex cognitive tasks, physicians’ discretionary space and reasoning, collaboration between generalists and specialists, emerging competencies, and the doctor–patient relationship.

Research should be rooted in everyday clinical practice and developed in collaboration with general practitioners. The project is expected to examine how physicians’ professional knowledge is created, developed, used and changed through AI-based tools, using methods appropriate for studying AI and clinical practice. It should be grounded in theories within the sociology of professions and produce results relevant to practice and international research.

The position is based in the Department of Social Studies and connected to the Forum for Research on Professions, a multidisciplinary environment of approximately 50 researchers. The department brings together sociology, peace and development studies and gender studies, with methodological expertise spanning ethnography, qualitative methods, quantitative methods and computational social science.

The project forms part of WASP-HS, the Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society. The postdoctoral researcher will work with a steering group of research supervisors and practicing physicians, as well as a reference group involving representatives from the Swedish Society of Medicine and WASP-HS. Research is the primary duty, with teaching and supervision potentially comprising up to 20% of full-time work.

Funding details

The postdoctoral fellowship is a full-time position for a maximum of three years. No salary, stipend, tuition coverage or other financial amount is specified in the advert.

What's required

Applicants must hold a doctoral degree or equivalent foreign degree completed by the employment decision, normally no more than three years before the application deadline; earlier degrees may be considered in special circumstances. Applicants must not have held a postdoctoral position for more than one year in the same or related subject area at Linnaeus University. Proficiency in Swedish and English, both orally and in writing, is required. Applicants should have documented experience of independent data collection and empirical analysis; the ability to independently plan, conduct, analyse and report research; experience with scientific writing demonstrated through peer-reviewed publications; and the ability to collaborate effectively, work in a structured manner with multiple stakeholders and manage concurrent activities. A preliminary 3–5-page research plan is required, along with a CV and merits list, two academic references, a doctoral thesis or equivalent, and additional scientific publications where applicable.

How to apply

Apply through the Apply button at the bottom of the vacancy advertisement. Submit a CV and merits list, contact details for two academic references, the doctoral thesis and publications, and a 3–5-page preliminary research plan in Swedish or English; mark documents with reference number HR-2026/1421.

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