Publisher
source

Aalborg University

Closing soon

Just Landed

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 available

Deadline

Aug 23, 2026

Country flag

Country

Denmark

University

Aalborg University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

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

Suggested positions

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

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?