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Postdoctoral position: Machine Learning, Anomaly Detection and Machine Monitorin - Belgium  

KU Leuven (company)

Posted on : 26 August 2017

Project Description


You will work under the supervision of Prof. Jesse Davis and Dr. Wannes Meert. You will be part of the team that connects the basic machine learning research and the applications. You will play an active role in this research team, publish papers on application of machine learning, take part in workshops, public events and other activities.


The ideal candidate must have a PhD in Machine Learning or Artificial Intelligence. Experience in one or more of the following topics is required: Probabilistic Programming, Statistical Relational Artificial Intelligence, Probabilistic Graphical Models, (Constrained) Clustering, Anomaly Detection and Sensor data. Additionally, excellent programming skills are required.  Experience with setting up proof-of-concept systems or dealing with real-world data is a big plus.

Candidates must be proficient in oral and written English, excellent communication skills, multi-tasking skills, and be team-oriented, proactive and results driven. The candidate will work as a member of research projects that involve frequent interactions with external researchers and industrial partners.

The position can start immediately. Interested candidates should send their résumé, containing a list of publications, a summary of past research, contact information of 2 or 3 referees, and a motivation letter using the KU Leuven system.


This is a full-time position for initially 12 months. We offer a stimulating environment at a European top university in a well-equiped, experienced and internationally oriented research unit. You will be based at the Department of Computer Science at the Arenberg Campus in Heverlee (close to the center of Leuven). As a postdoctoral researcher you will get the opportunity to become involved in project management and interact frequently with industrial partners.