Doctoral Student

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Umeå universitet

We’re looking for a PhD student in Computing Science with a focus on Machine Learning.

Large-scale machine learning open up for incredible opportunities in many different applications and has gone through a very rapid development in the last few years. Large-scale machine learning models are however notoriously over-confident. With insufficient amounts of data to train them on together with unknown but presumably large prediction uncertainties, their broad application is hindered. This is especially a problem in application areas that require robust and trustworthy solutions, such as in medical applications.

Federated Bayesian learning offers a solution to those problems by allowing multiple participants to train machine learning models collaboratively, without sharing any data. Bayesian models also provide uncertainty estimates in the model and its predictions, allowing the confidence in automated decisions to be evaluated.

The goal of this project is therefore to develop learning algorithms and methods for calibrated Bayesian federated learning for trustworthy collaborative Bayesian learning on data from multiple participants. The project will develop new methods, theory, and algorithms for Bayesian machine learning with applications in e.g., medical image analysis.

The position is offered by XXXX XXXX, Docent and Associate Professor, head of the Machine Learning group at the Department of Computing Science, Umeå University.

See the full ad and : https://www.umu.se/en/work-with-us/open-positions/phd-student-in-computing-science-with-a-focus-on-machine-learning_885344/

Note: You cannot apply directly to me, nor through LinkedIn. You have to apply through the above link!

Umeå universitet

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