Publisher
source

Karolinska Institutet

Postdoctoral Position in Epidemiology on Algorithmic Management, Work and Health Karolinska Institutet in Sweden

Degree Level

Postdoc

Field of study

Epidemiology

Funding

Temporary full-time postdoctoral employment for two years. Salary is monthly (Månadslön); no stipend or tuition information is provided.

Deadline

Oct 25, 2026

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Country

Sweden

University

Karolinska Institutet

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Keywords

Epidemiology
Psychology
Occupational Health
Medical Science
Causal Inference
Salud Pública
Statistics
ML

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About this position

Karolinska Institutet is advertising a postdoctoral position in epidemiology focused on algorithmic management, digital platform work, and workers' health. The position is embedded in the research projects ALGOSH and DIGILONG, where the successful candidate will analyse newly collected longitudinal data linked to Swedish population registers.

The work sits at the intersection of occupational health, epidemiology, causal inference, and advanced quantitative methods. The postdoctoral researcher will have scientific freedom to develop research questions, choose analytical strategies, and lead publications. Methods mentioned include longitudinal causal inference, target trial emulation, mediation analysis, machine learning, neural networks, and complexity-informed approaches.

The position is based at the Unit of Occupational Medicine, Solna, at Karolinska Institutet in Sweden. The research environment includes the research groups led by Carin Håkansta and Theo Bodin, with links to the ALGOSH programme on algorithmic management at work.

Eligibility requires a PhD or equivalent foreign degree by the employment decision date. The ideal candidate has a background in epidemiology, public health, occupational health, or a closely related field; strong skills in R, Stata, SAS and/or Python; experience with large and longitudinal datasets; and a publication record showing independence and leadership. Experience with advanced longitudinal methods, linked register data, and occupational epidemiology is especially valued.

This is a temporary full-time position for two years. The application is submitted through the Varbi recruitment system. Required documents include a PhD certificate, full CV, publication list, and a one-page summary of current work. Applications are reviewed on an ongoing basis, and the final deadline is 25 October 2026.

Funding details

Temporary full-time postdoctoral employment for two years. Salary is monthly (Månadslön); no stipend or tuition information is provided.

What's required

A PhD or equivalent foreign degree deemed equivalent to a Swedish PhD is required by the employment decision date. The ideal candidate has a PhD in epidemiology, public health, occupational health, or a closely related field with a strong epidemiological component; strong foundations in epidemiological study design, causal reasoning, and quantitative methods; experience analyzing large and complex datasets and longitudinal epidemiological research; strong programming skills in R, Stata, SAS and/or Python; ability to translate research questions into appropriate study designs and analytical strategies; a track record of scientific publications and leading research, analysis, interpretation, and manuscript writing; excellent written and spoken English. Experience with advanced longitudinal/causal methods, target trial emulation, mediation analysis, machine learning, complexity science, linked register data, and occupational epidemiology is particularly meritorious.

How to apply

Submit the application through the Varbi recruitment system. Include a PhD certificate, a complete CV with thesis defence date and academic details, a complete publication list, and a one-page summary of current work. Applications are reviewed on an ongoing basis, so apply as soon as possible before the deadline.

More information can be found here

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