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University of Oulu

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Postdoctoral Researcher in Medical Statistics and Machine Learning University of Oulu in Finland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fixed-term full-time postdoctoral position at the University of Oulu. Salary is based on Finnish university demand level 5-6 plus a personal performance component up to 50% of the job-specific component; starting gross salary is approximately 3900-4200 EUR per month. The contract runs from 1 November 2026 (or as soon as possible thereafter) until 31 August 2028, with a 6-month trial period.

Deadline

Oct 30, 2026

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Country

Finland

University

University of Oulu

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Keywords

Computer Science
Data Science
Biology
Mathematics
Medical Statistics
Medical Science
Real-world Data
Statistics
Bioinformatic
ML

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About this position

University of Oulu is inviting applications for a Postdoctoral Researcher in Medical Statistics within the Research Unit for Population Health (PoPH), Faculty of Medicine, as part of the Health Dimensions research initiative funded by the Research Council of Finland.

The project focuses on medical statistics, machine learning, longitudinal modelling, and analysis of real-world health and healthcare data and cohort studies. The successful candidate will help build and evaluate models for multiple chronic diseases across the life course, contribute to reproducible research software, and support interdisciplinary work on chronic disease prevention and multimorbidity.

Eligibility highlights: a doctoral degree in health data science, bioinformatics, statistics, computer science, or a closely related field; completion by the end of the application period and within 10 years of the PhD; strong programming and analytical skills (R or Python); experience with reproducible data preparation and analysis; and a publication record. Excellent English is required, while Finnish and research computing experience are appreciated.

Funding and contract: fixed-term, full-time postdoctoral employment from 1 November 2026 (or as soon as possible thereafter) to 31 August 2028. Starting gross salary is approximately 3900–4200 EUR/month, plus a performance-based component. A 6-month trial period applies.

How to apply: submit the application in English via the Varbi online recruitment system by 30 September 2026 at 23:59 Finnish time. Include a cover letter, CV, publication list, referee contacts, and copies of Master’s and PhD certificates.

Contact: Associate Professor Katriina Heikkila ([email protected]).

Funding details

Fixed-term full-time postdoctoral position at the University of Oulu. Salary is based on Finnish university demand level 5-6 plus a personal performance component up to 50% of the job-specific component; starting gross salary is approximately 3900-4200 EUR per month. The contract runs from 1 November 2026 (or as soon as possible thereafter) until 31 August 2028, with a 6-month trial period.

What's required

A doctoral degree in health data science, bioinformatics, statistics, computer science or a closely related discipline, completed by the end of the application period and no more than 10 years prior. Applicants should have experience using, evaluating and developing machine learning methods, strong analytical and programming skills such as R or Python, experience with accurate and reproducible data preparation and analysis, and a track record of peer-reviewed research articles, research software and/or datasets. They should be able to manage competing priorities, work independently, collaborate in interdisciplinary teams, and communicate fluently in written and spoken English. Finnish language skills, research computing/virtual server experience, and the ability to explain technical or clinical concepts clearly are appreciated.

How to apply

Apply online through the Varbi recruitment system by 30 September 2026 at 23:59 Finnish time. Submit a cover letter, CV, publication list, contact details for 2-3 referees, and copies of your Master’s and PhD certificates. Use English for the application and do not exceed the stated page limits.

More information can be found here

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