Umeå University
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Postdoc in Statistics at Umeå University Umeå University in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 31, 2026
Country
Sweden
University
Umeå University

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About this position
Umeå University is advertising a Postdoc in Statistics at the Umeå School of Business, Economics and Statistics (USBE), specifically in the Department of Statistics. The project is titled “3Ds of 3D: Design, Data quality and Data driven decisions - Advancing statistical methods for human 3D movement analyses of clinical populations” and focuses on developing, evaluating, and implementing innovative statistical methods.
The main research emphasis is on sample size estimation and reliability for functional data, with possible applied work on movement data and clinical populations. The department highlights its broader research profile in statistics and data science, including method development and empirical research, and collaboration across disciplines.
Eligibility highlights: applicants should have a PhD in statistics or a related area before starting. Preference is given to candidates who completed the doctorate within the last three years, unless special circumstances apply. Strong documented research skills are required, especially experience with functional data methods, sample size estimation, or reliability. Excellent programming skills, strong English communication skills, good interpersonal skills, and the ability to work independently and collaboratively are also expected.
Funding and appointment: the position is full-time for two years with a monthly salary. A small teaching component may be included if needed and agreed.
How to apply: submit the application through Umeå University’s recruitment system by 2026-08-31. The application should include a personal letter, a research plan in English, CV, publication list with up to three selected publications, degree certificates and supporting documents, and contact details for at least two references.
Contact: Lina Schelin, [email protected].
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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