Postdoctoral Position in Machine Learning, Anomaly Detection and Machine Monitoring KU Leuven, Department of Computer Science

POSTDOCTORAL POSITION: MACHINE LEARNING, ANOMALY DETECTION AND MACHINE MONITORING

 

(Ref. BAP-2017-480)

 

Employment: Full time

 

Duration: Certain duration extendable

 

City: Leuven

 

Apply until: 31/10/2017

 

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.

 

POSTDOCTORAL POSITION: MACHINE LEARNING, ANOMALY DETECTION AND MACHINE MONITORING

 

The lab for Declarative Languages and Artificial Intelligence (DTAI) is one of the leading research groups for machine learning and data mining. DTAI’s machine learning group counts four faculty members (Luc De Raedt, Hendrik Blockeel, Bettina Berendt and Jesse Davis), one research manager, one research expert, around 5 post-docs and over 25 doctoral students.
 

DTAI is internationally renowned for its expertise in integrating different forms of reasoning (inductive, deductive and probabilistic), in logical learning, statistical relational learning, probabilistic programming, learning from structured data (relational databases and graphs), inductive logic programming, inductive databases, action-activity learning, knowledge representation, data mining, and constraint programming.
 

Next to fundamental research in machine learning and data mining, the DTAI group applies the developed techniques to concrete cases situated in intensive care monitoring, predictive maintenance, smart self-diagnosis, mechatronics, robot manipulation and navigation, bio- and chem-informatics, natural language processing, smart electronics, computer vision, etc. For these applications, DTAI cooperates with other groups from strategically chosen research areas.
 
 

Responsibilities

 

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.
 

Profile

 

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.

 

Offer

 

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.
 

Interested?

 

For more information please contact Dr. ir. Wannes Meert, tel.: +32 16 37 25 66, mail: wannes.meert@kuleuven.be or Prof. dr. ir. Jesse Davis, tel.: +32 16 32 78 05, mail: jesse.davis@kuleuven.be.

 

You can apply for this job no later than October 31, 2017 via the 


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