PhD student in Neurosymbolic AI

Key Skills

Aartificial intelligence, Effective communication skills, Environmental

Job Description

Project

The group of Luc De Raedt has openings at both the PhD- and post-doc level in neurosymbolic AI, which combines probability, logic and neural networks with the goal of supporting both data and knowledge, learning and reasoning.

This is one the next frontiers in AI and is enjoying a lot of attention these days.

Profile

• The ideal candidate has a master degree in Computer Science or Artificial Intelligence. Experience that relates to neurosymbolic AI, or its ingredients is a plus. Familiarity with logic and probability as well.
• Candidates must have excellent programming skills, be proficient in oral and written English, possess excellent communication skills, multi-tasking skills, and be team-oriented, proactive and result driven. The PhD students will work on research projects that involve frequent interactions with both internal and external researchers.
• The positions can start immediately, and positions will be filled as soon as suitable candidates are found. Interested PhD candidates should send their CV, their transcripts, contact information of 2 or 3 referees, and a motivation letter using the KU Leuven system. The motivation letter should clearly outline the interests in neurosymbolic AI, as well as possible past experience in AI and possibly neurosymbolic AI.

offer

• A full time PhD scholarship of 1 year, extendible until max. 4 years.
• A stimulating environment at Europe's most innovative university, in a well-equipped, experienced and internationally oriented research unit.
• The research will be based at the Department of Computer Science at the Arenberg Campus in Heverlee (close to the center of Leuven).

Interest

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