PROFESSORSHIP (junior/senior) @ KU Leuven: EMBODIED LEARNING MACHINES
Since their beginnings some 50 years ago, computer vision, speech and natural language
processing, and robotics have made progress by various forms and levels of the
integration of so-called 'model-based' (e.g. system identification) and 'model-free'
(e.g. deep learning) approaches.

However, important challenges remain at the system and application level, where sound,
vision, touch, force, motion must be integrated, to reach application-driven and system
level performance goals. It is still a mostly unsolved scientific and technical question
how to integrate synergistically the mentioned progress into the perception and control
of an engineered body that is equipped with all of the mentioned sensory modalities.

The ideal candidate has proven expertise in one or more of the above-mentioned
disciplines and wants to progress the state-of-the-art in their integration.

Further details regarding this position
:https://www.kuleuven.be/personeel/jobsite/jobs/55533021?hl=en&lang=en