Postdoc Position - Federated Machine Learning for Complex Multi-OMICS…

The Department of Mathematics and Computer Science at the University of Southern Denmark for the Computational Biology laboratory chaired by Professor Richard Röttger invites applications for a postdoctoral position within the field of federated machine learning and AI to be filled as soon as possible, for a period of initially 12 months with the prospects of being prolonged.

The research is part of a large European effort, FeatureCloud, to establish privacy-aware federated machine learning approache s to enable the mining of distributed, sensitive data. Currently, one major roadblock of biomedical research is that the valuable data is scattered around the globe, and sharing, and consolidating, data is simply not possible due to privacy concerns. With FeatureCloud, we are seeking to elevate this prohibitive problem by allowing federated machine learning, i.e. we leave the data in the safe harbour of storage and train local models at the sites; thereafter only the model parameters are consolidated in a central instance to create a model of similar capabilities as a conventional model trained on all the available data.

The successful candidate will develop novel approaches for federated machine learning of systems medicine and multi-OMICS data in particular. 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 on biomedical data, both in the realm of unsupervised as well as supervised learning. We also provide the candidate with direct access to state-of-the-art computing facilities optimized for deep learning and distributed computing.

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.

Deadline: 6 February 2023.

Please see the full call, including how to apply, on www.sdu.dk .