Publisher
source

Aalborg University

PhD and Postdoc in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data Aalborg University in Denmark

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 23, 2026

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Country

Denmark

University

Aalborg University

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Keywords

Computer Science
Medical Imaging
Mathematics
Data Privacy
Federated Learning
Medical Science
Salud Pública
Spatial Statistics
Statistics

About this position

PhD and Postdoc opportunity in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data at Aalborg University

CLINDA, the Center for Clinical Data Science at Aalborg University, is inviting applications for a PhD and a postdoc position focused on privacy-preserving analysis of spatial health data. The project sits at the intersection of mathematics, statistics, data science, and public health, and is carried out in collaboration with the Department of Mathematical Sciences.

The research uses unique Danish health registry data to develop methods that allow meaningful analysis of sensitive health information while protecting individual privacy. Topics include differential privacy, Bayesian privacy, federated learning, and synthetic data, with applications to disease maps, medical imaging, hotspot detection, and other spatial health-data problems.

Research environment: The project is part of the Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D),” and involves collaboration with Professor Martin Bøgsted (Aalborg University), Professor Anders Krogh (University of Copenhagen), and Professor Jan Trzaskowski (Aalborg University). The work is embedded in CLINDA’s Data Science Methods group, which focuses on privacy-preserving techniques.

Eligibility: For the PhD, applicants should have an MSc in mathematical statistics, mathematically founded data science, mathematical economics, or a similar field, with strong quantitative skills and excellent English. For the postdoc, applicants should have a PhD or be close to submission/defence before appointment. Experience with spatial statistics is an advantage for both positions.

Funding and duration: The PhD is fully funded for 3 years. The postdoc is a 2-year full-time appointment with the possibility of a 1-year extension. Both positions start on or around 1 November 2026.

Application deadline: 23 August 2026.

How to apply: Submit your application through Aalborg University’s recruitment system on the job advertisement page. The PhD application requires an application letter, CV, diplomas, and supporting documents. The postdoc application additionally requires a publication list, teaching/dissemination documentation, extra qualifications, and references.

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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