Postdoctoral position: Machine Learning, Anomaly Detection and Machine Monitorin

A postdoctoral position is available in the area of Machine Learning, Anomaly Detection, and Machine Monitoring with a strong focus on applications on real-world use cases. The position is in the DTAI research group, part of the Department of Computer Science at KU Leuven. You will work with Prof. Jesse Davis and Dr. Wannes Meert. The research group focusses especially on applications involving Probabilistic Programming, Statistical Relational Artificial Intelligence, Probabilistic Graphical Models, (Constrained) Clustering, Anomaly Detection and Sensor data. The candidate will focus on developing and adapting machine learning techniques to use cases offered by our industrial partners, and setting up proof-of-concept systems to validate the results. This mainly in the scope of the VLAIO-SBO project "Hypermodelling strategies on multi-stream time-series data for operational optimization". You will also interact with the Sports Analytics Group that Prof. Davis directs.


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