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Mikkel Meyer Andersen

7 months ago

PhD Stipend in Statistical and Causal Modelling of Non-Communicable Diseases (NCDs) at Aalborg University Aalborg University in Denmark

Degree Level

PhD

Field of study

Data Science

Funding

Available

Deadline

Expired

Country flag

Country

Denmark

University

Aalborg University

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Keywords

Data Science
Biostatistics
Biology
Mathematics
Medical Science
Salud Pública
Spatial Statistics
Biobanking
Methodology Development
Non-communicable Disease
Computational Statistics
Statistics
Bioinformatic

About this position

The Department of Mathematical Sciences at Aalborg University, Faculty of Engineering and Science, invites applications for a PhD stipend in statistics for medical research, with a start date of August 1, 2026 or soon thereafter. This three-year position focuses on statistical and causal modelling of non-communicable diseases (NCDs), such as heart disease, diabetes, and cancer, utilizing data from health registries and biobanks. The research will be conducted in close collaboration with the Center for Clinical Data Science (CLINDA), part of the Faculty of Medicine at Aalborg University.

The successful candidate will engage in statistical and causal modelling of health outcomes, working with health registries and genetic information from biobanks. The role involves interdisciplinary collaboration with researchers from diverse backgrounds, contributing to methodological development in biostatistics, clinical AI, and bioinformatics. The Department of Mathematical Sciences is renowned for its research in both fundamental and applied statistics, including areas such as forensics, life sciences, topological data analysis, spatial statistics, and computational statistics.

Applicants must possess a Master's degree in mathematics or statistics, demonstrate knowledge of causal modelling, and have experience with genetic data and biobanks. Enrollment as a PhD student at the Doctoral School of Engineering and Science is mandatory, in accordance with Danish Ministerial regulations. The PhD program requires completion of courses totaling 30 ECTS, participation in teaching or knowledge dissemination activities, and an external research stay of 3-6 months at a foreign institution.

Aalborg University offers a vibrant international research environment, with over 3,700 employees and campuses in Aalborg, Esbjerg, and Copenhagen. The university values diversity and encourages applications from all qualified candidates, regardless of background. The position is funded according to the AC collective agreement, ensuring competitive salary and employment terms.

To apply, candidates must submit an application detailing their motivation and qualifications, a CV, diplomas (bachelor’s and master's, including grades), and other relevant documents via Aalborg University’s recruitment system. The application portal can be accessed through the job advertisement link. Interviews are expected to take place in April 2026, and the assessment process includes shortlisting and evaluation by qualified experts. For further information, applicants may contact Associate Professor Mikkel Meyer Andersen, Professor Martin Bøgsted, or Professor Jesper Møller.

For more details and to apply, visit: Aalborg University PhD Position.

Funding details

Available

What's required

Applicants must hold a Master's degree in mathematics or statistics, with knowledge of causal modelling and experience working with genetic data and biobanks. Enrollment as a PhD student at the Doctoral School of Engineering and Science is required. Candidates must complete PhD courses corresponding to 30 ECTS, gain teaching or knowledge dissemination experience, and undertake an external research stay (preferably 3-6 months) at a foreign research institution. All qualified researchers are encouraged to apply, especially those with research experience and ambitions in biostatistics or statistics for medical research.

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Professors

Associate Professor at Aalborg University

University Name
Country flag

Denmark

Research Interests

Statistics

Artificial Intelligence

Biology

Mathematics

Medical Science

Professor

University Name
Country flag

Denmark

Research Interests

Health Economics

Statistics

Salud Pública

Medical Science

Mathematics

Professor at Aalborg University

University Name
Country flag

Denmark

Research Interests

Biostatistics

Statistics

Probability Theory

Gaussian Processes

Spatial Statistics