Postdoc in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data

Opportunity summary

Official occupation: Post doc., sundhedsvidenskab. Employment conditions: Almindelige vilkår. Employer CVR: 29102384. Primary career market: Public Sector, Education & Impact (employer-sector evidence). Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, Aalborg University, we are offering a position as postdoc starting November 1, 2026, or soon hereafter. This is a two-year full-time position with the possibility of a one-year extension. Your work tasks This Postdoc sits at the intersection of mathematics, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy.Using unique, nationwide Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly informative but also pose significant privacy risks.Your work will focus on developing and studying privacy-preserving methods, such as differential privacy, Bayesian privacy, federated learning and synthetic data1 …

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