Aalborg University
6 days ago
PhD or 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 availableDeadline
Aug 23, 2026
Country
Denmark
University
Aalborg University

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About this position
PhD or Postdoc opportunity in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data at Aalborg University, hosted by CLINDA – Center for Clinical Data Science in collaboration with the Department of Mathematical Sciences.
This opening sits at the intersection of mathematics, statistics, public health, and data science. The project focuses on a major challenge in modern health analytics: how to use sensitive health registry data responsibly while preserving privacy. The research includes developing methods such as differential privacy and synthetic data for spatial health data, including disease maps and medical imaging.
Successful candidates will work on mathematically challenging problems with real-world impact and collaborate across disciplines with researchers in data science, law, and the health sector. The post specifically highlights a strong background in mathematics, statistics, or mathematically founded data science; experience with spatial statistics is an advantage.
This is a PhD or postdoc opening, not a scholarship announcement. The application deadline is 23 August 2026. Interested applicants should review the linked position pages and apply via the provided links.
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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