Publisher
source

Aalborg University

PhD in Statistical Aspects of Privacy for Spatial Health Data Aalborg University in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded 3-year PhD stipend at Aalborg University. The position is full time and follows Danish university salary and employment terms. No stipend amount is stated in the post.

Deadline

Expired

Country flag

Country

Denmark

University

Aalborg University

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Keywords

Computer Science
Mathematics
Data Privacy
Salud Pública
Spatial Statistics
Statistics

About this position

PhD position in Statistical Aspects of Privacy for Spatial Health Data at Aalborg University, hosted by the Center for Clinical Data Science (CLINDA) in collaboration with the Department of Mathematical Sciences.

This project sits at the intersection of mathematics, statistics, public health, and privacy-preserving data science. The research uses rich Danish health registry data to develop methods for analyzing sensitive spatial health data such as disease maps and medical imaging while protecting individual privacy. Topics include differential privacy, synthetic data, spatial statistics, and privacy metrics for health data.

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 across Aalborg University, the University of Copenhagen, and legal expertise for GDPR compliance. The PhD student will join CLINDA’s Data Science Methods group and interact with broader Danish data science infrastructure networks.

Funding: fully funded 3-year PhD stipend. Start date: September 1, 2026 or soon thereafter. Deadline: 31 May 2026.

Eligibility highlights: MSc in mathematical statistics, mathematically founded data science, mathematical economics, or similar; strong mathematics/statistics background; excellent English; spatial statistics experience is an advantage. The PhD includes coursework, teaching/dissemination experience, and an external research stay.

How to apply: Submit the application via Aalborg University’s recruitment system. Include a motivation letter, CV, diplomas, grades, and other relevant documents. Use the job advertisement on the university website to access the portal.

Funding details

Fully funded 3-year PhD stipend at Aalborg University. The position is full time and follows Danish university salary and employment terms. No stipend amount is stated in the post.

What's required

Applicants must hold an MSc degree in mathematical statistics, mathematically founded data science, mathematical economics, or a similar field, or be able to complete such an MSc before the appointment date. Strong documented qualifications in mathematics and statistics are required, along with excellent oral and written English skills. Experience with spatial statistics is an advantage. For applicants finishing the MSc later, a supervisor statement with expected exam timing and the MSc thesis contract is required, and appointment is conditional on passing the MSc exam. The PhD student must be enrolled at the Doctoral School in Medicine, Biomedical Science and Technology and complete 30 ECTS of PhD courses, teaching or dissemination experience, and an external research stay.

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Professors

Professor

University Name
Country flag

Denmark

Research Interests

Health Economics

Statistics

Medical Science

Salud Pública

Mathematics

Professor

University Name
Country flag

Denmark

Research Interests

Statistics

Medical Imaging

Spatial Statistics

Mathematics

Data Privacy

Professor

University Name
Country flag

Denmark

Research Interests

Statistics

Medical Imaging

Salud Pública

Spatial Statistics

Data Privacy