POSTDOC : "AI FOR INDUSTRY - INTEGRATING LEARNING AND REASONING"

09 October 2019

Get in touch!

Interested?

For more information please contact Prof. dr. ir. Hendrik Blockeel, tel.: +32 16 32 76 43, mail: hendrik.blockeel@kuleuven.be or Prof. dr. Luc De Raedt, tel.: +32 16 32 78 34, mail: luc.deraedt@kuleuven.be.You can apply for this job no later than November 30, 2019 via the online application toolKU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.

Apply before 30 November 2019

In the context of a large industry-oriented research project, the team will be involved in the development of concrete solutions for real-world use cases on the basis of the mentioned research. It is in this context that DTAI wishes to hire an additional postdoctoral researcher. The postdoc 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, all this typically in collaboration with PhD students.

A postdoctoral position is available in the Machine Learning team of the DTAI research group at KU Leuven’s Department of Computer Science.

DTAI is a leader in machine learning and data science research. It 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 science, DTAI applies the developed techniques to concrete cases situated in intensive care monitoring, predictive maintenance, smart self-diagnosis, mechatronics, robot manipulation and navigation, smart electronics, computer vision, etc. For these applications, DTAI cooperates with other groups from strategically chosen research areas. DTAI's Machine Learning subgroup at the Leuven campus currently counts four faculty members (Luc De Raedt, Hendrik Blockeel, Bettina Berendt, Jesse Davis), one research manager, five post-docs, and over 25 doctoral students.

In the context of a large industry-oriented research project, the team will be involved in the development of concrete solutions for real-world use cases on the basis of the mentioned research. It is in this context that DTAI wishes to hire an additional postdoctoral researcher. The postdoc 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, all this typically in collaboration with PhD students.

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Responsibilities

You will work under the supervision of Prof. Hendrik Blockeel 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 applications of machine learning, take part in workshops, public events and other activities. You will also supervise the development and to some extent the deployment of proof-of-concept software, and give guidance to PhD students.

Profile

The ideal candidate has a strong background in Computer Science and a PhD in Machine Learning or Artificial Intelligence. Experience in one or more of the following topics is a plus: 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, have excellent communication skills, have 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-equipped, 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.