Aalborg University
1 month ago
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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
The PhD is a fully funded 3-year position starting November 1, 2026 or soon thereafter. The postdoc is a two-year full-time position with the possibility of a one-year extension. Salary and terms follow the Danish collective agreement and university regulations.
Deadline
Aug 23, 2026
Country
Denmark
University
Aalborg University
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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
The PhD is a fully funded 3-year position starting November 1, 2026 or soon thereafter. The postdoc is a two-year full-time position with the possibility of a one-year extension. Salary and terms follow the Danish collective agreement and university regulations.
What's required
For the PhD, applicants must hold or be close to completing an MSc in mathematical statistics, mathematically founded data science, mathematical economics, or a similar field; strong qualifications in mathematics, statistics, or mathematically founded data science are required, along with excellent oral and written English. Experience with spatial statistics is an advantage. For the postdoc, applicants must hold a PhD or be close to submitting the PhD thesis before the appointment date; strong qualifications in mathematics, statistics, or mathematically founded data science and excellent English are required, with spatial statistics as an advantage. The PhD also requires enrollment in the Doctoral School in Medicine, Biomedical Science and Technology and completion of PhD coursework, teaching/dissemination experience, and an external research stay.
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