Postdoc Position in Privacy-preserving Machine Learning and Artificial Intelligence

University of Southern Denmark
Department of Mathematics and Computer Science
Denmark Odense


The Department of Mathematics and Computer Science at the University of Southern Denmark, for the Computational Biology laboratory chaired by Associate Professor Richard Röttger, invites applications for a postdoctoral position within the field of federated machine learning and AI to be filled by 1 January 2021 or soon thereafter, initially for a period of one year, extendable up to three years.

The research is part of a large European effort, FeatureCloud, to establish privacy-aware federated machine learning approaches to enable the mining of distributed, sensitive data. The successful candidate will develop novel approaches for federated systems medicine and distribute the implementations of the approaches with the FeatureCloud platform. The candidate will be embedded in a highly international and powerful consortium as a member of the Computational Biology group which offers a wide expertise in machine learning of biomedical data, both in the realm of unsupervised and supervised learning. We also provide the candidate with direct access to state-of-the-art computing facilities optimized for deep learning and distributed computing.

This position is subject to the entry into force of grant agreement no 826078 by and between The European Union and The University of Southern Denmark and thereby funded by the European Union's Horizon 2020 Research and Innovation Programme.

Application deadline: 2 December 2020.

Please see the full call, including how to apply, on


We are seeking outstanding candidates with strong analytical and problem solving skills, who are strong in written and oral communication (in English), and have documented experience in data science, machine learning and software development of complex systems. Expertise in the analysis of biological data is an advantage, but not a requirement. Expertise in computer security and data privacy are welcome, but not required.

Start date

January 01, 2021

How to Apply

Please apply at