Job:Postdoc Position - FeatureCloud: Federated Machine Learning for Complex Multi-OMICS Data
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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 September 2022 or soon thereafter for a period of initially 15 months with the prospects of being prolonged.

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. 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 on the safe harbour of storage and train local mod els at t he sites; thereafter only the model parameters are consolidated in a central instance to create a model of capabilities similar to 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 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.

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

1 August 2022.

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

Biology learning systems SDU medicine multi-OMICS machine Computational • 207 views
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