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PhD in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data Aalborg University in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 23, 2026
Country
Denmark
University
Aalborg University

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About this position
PhD opportunity at Aalborg University in statistical methods for privacy-preserving analysis of spatial health data.
This fully funded 3-year PhD is hosted by the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, Aalborg University, in close collaboration with the Department of Mathematical Sciences. The project sits at the intersection of mathematics, statistics, data science, public health, spatial statistics, and privacy-aware health analytics.
The research uses unique nationwide Danish health registry data and focuses on developing methods that let researchers learn from sensitive spatial health data without compromising individual privacy. Possible directions include differential privacy, Bayesian privacy, federated learning, synthetic data, synthetic spatial point patterns, and privacy-preserving visualization of health data. Applications mentioned include disease maps, medical imaging, hotspot detection, and cancer-related spatial analysis.
The position is part of the Novo Nordisk Foundation Data Science Collaborative Programme Synthetic health data: ethical development and deployment via deep learning approaches (SE3D), with collaboration involving Aalborg University, the University of Copenhagen, and legal expertise for GDPR compliance. The broader environment also connects to the National Health Data Science Sandbox network across five Danish universities.
Eligibility highlights: strong qualifications in mathematics/statistics/mathematically founded data science; MSc in mathematical statistics, mathematically founded data science, mathematical economics, or similar; excellent English; spatial statistics experience is an advantage. Applicants finishing the MSc before appointment may apply with supporting documentation.
Funding and terms: fully funded PhD position, 3 years, starting 1 November 2026 or soon after. Standard Danish university salary and employment terms apply.
Deadline: 23 August 2026.
How to apply: submit an application, CV, degree diplomas with grades, and other relevant documents through Aalborg University’s recruitment system on the vacancy page.
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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