Postdoc : ’AI for industry - integrating learning and reasoning’

     
Employer
Published
WorkplaceLeuven, Flemish Region, Belgium
Category
Position

Description

Postdoc : "AI for industry - integrating learning and reasoning"

The DTAI group at KU Leuven is looking for a postdoctoral researcher in the area of AI, more specifically the integration of learning and reasoning.

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 candidates.

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 candidates.

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 candidates.

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.

KU 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 [at] kuleuven[.]be.

Web

In your application, please refer to myScience.be
and reference  JobID 2510.

Related News



This site uses cookies and analysis tools to improve the usability of the site. More information. |