Postdoctoral position: Machine Learning, Anomaly Detection and Machine Monitorin - Belgium
KU Leuven (company)
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.