Martin Bøgsted

The Department of Mathematical Sciences at Aalborg University, Faculty of Engineering and Science, invites applications for a PhD stipend in statistics for medical research, with a start date of August 1, 2026 or soon thereafter. This three-year position focuses on statistical and causal modelling of non-communicable diseases (NCDs), such as heart disease, diabetes, and cancer, utilizing data from health registries and biobanks. The research will be conducted in close collaboration with the Center for Clinical Data Science (CLINDA), part of the Faculty of Medicine at Aalborg University. The successful candidate will engage in statistical and causal modelling of health outcomes, working with health registries and genetic information from biobanks. The role involves interdisciplinary collaboration with researchers from diverse backgrounds, contributing to methodological development in biostatistics, clinical AI, and bioinformatics. The Department of Mathematical Sciences is renowned for its research in both fundamental and applied statistics, including areas such as forensics, life sciences, topological data analysis, spatial statistics, and computational statistics. Applicants must possess a Master's degree in mathematics or statistics, demonstrate knowledge of causal modelling, and have experience with genetic data and biobanks. Enrollment as a PhD student at the Doctoral School of Engineering and Science is mandatory, in accordance with Danish Ministerial regulations. The PhD program requires completion of courses totaling 30 ECTS, participation in teaching or knowledge dissemination activities, and an external research stay of 3-6 months at a foreign institution. Aalborg University offers a vibrant international research environment, with over 3,700 employees and campuses in Aalborg, Esbjerg, and Copenhagen. The university values diversity and encourages applications from all qualified candidates, regardless of background. The position is funded according to the AC collective agreement, ensuring competitive salary and employment terms. To apply, candidates must submit an application detailing their motivation and qualifications, a CV, diplomas (bachelor’s and master's, including grades), and other relevant documents via Aalborg University’s recruitment system. The application portal can be accessed through the job advertisement link. Interviews are expected to take place in April 2026, and the assessment process includes shortlisting and evaluation by qualified experts. For further information, applicants may contact Associate Professor Mikkel Meyer Andersen, Professor Martin Bøgsted, or Professor Jesper Møller. For more details and to apply, visit: Aalborg University PhD Position .

The Center for Clinical Data Science (CLINDA) at the Department of Clinical Medicine, Faculty of Medicine, Aalborg University, offers a fully funded PhD stipend focused on statistical aspects of privacy for spatial health data. The position begins September 1, 2026, or soon thereafter, and lasts three years. This project sits at the intersection of mathematics, statistics, and public health, aiming to develop privacy-preserving methods for analyzing sensitive health data, such as disease maps and medical imaging, without compromising individual privacy. Leveraging rich, nationwide Danish health registry data, the research will focus on spatial data where location information can reveal important patterns but also pose privacy risks. The PhD student will work on methods like differential privacy and synthetic data generation, enabling researchers to detect trends, identify hotspots, and support health decision-making while ensuring strong privacy guarantees. The project addresses the challenge of balancing data utility with privacy in complex spatial datasets, offering the opportunity to tackle mathematically demanding problems with real-world impact. The research is conducted in close collaboration with the Department of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. 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),” involving Professor Martin Bøgsted (privacy metrics), Professor Anders Krogh (generative AI workflows), and Professor Jan Trzaskowski (GDPR compliance). There will also be interaction with the Novo Nordisk Foundation Data Science Infrastructure Programme, “The National Health Data Science Sandbox,” a network of data scientists and researchers across five Danish universities. CLINDA is a multidisciplinary center bridging clinical practice and data science, comprising three research groups: Clinical AI, Bioinformatics and Statistics, and Data Science Methods. The PhD student will join the Data Science Methods group, which specializes in privacy-preserving techniques. CLINDA includes 17 core staff and collaborates with over 20 affiliated postdocs and PhD students from other university faculties and Aalborg University Hospital. The Department of Mathematical Sciences conducts fundamental and applied research in statistics, including spatial statistics, computational statistics, and statistical methods for life sciences and forensics. The Department of Clinical Medicine provides research-based teaching across all medical disciplines and collaborates closely with hospitals and general practice in the North Denmark Region. Applicants must have strong qualifications in mathematics and statistics, excellent English language skills, and preferably experience with spatial statistics. An MSc degree in mathematical statistics, mathematically founded data science, mathematical economics, or similar is required. Candidates completing their MSc before the appointment date may also apply, provided they submit a supervisor statement and MSc thesis contract. Appointment is conditional on passing the MSc exam. Enrollment as a PhD student at the Doctoral School in Medicine, Biomedical Science and Technology is required. The PhD program includes 30 ECTS of courses, teaching or dissemination experience, and a 3-6 month external research stay outside Aalborg University. Salary and employment terms follow the Danish Confederation of Professional Associations and the state (AC collective agreement). The position is fully funded for three years. Aalborg University values diversity and encourages applications from all backgrounds. The hiring process includes shortlisting and risk assessment. For questions, contact Professor Martin Bøgsted or other listed contacts. To apply, submit your application via Aalborg University’s recruitment system, including a motivation statement, CV, diplomas, and other relevant documents. Applications must be submitted before the deadline. All applicants will be informed of their status after shortlisting.

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.

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.