Position Tenure-Track Assistant Professor in Computational Machine Learning

The Faculty of Engineering Science at KU Leuven is seeking to fill the position 
of a tenure-track assistant professor in "Computational Machine Learning". The 
successful candidate will join the STADIUS Center for Dynamical Systems, Signal 
Processing, and Data Analytics in the Department of Electrical Engineering 
(ESAT).

ESAT-STADIUS pursues excellence in an explicit and synergistic combination of 
fundamental and applied research. With core concepts from linear and 
multi-linear algebra, statistics, optimization, machine learning, and 
artificial intelligence, its fundamental research is focused on the development 
of mathematical engineering tools and numerical algorithms. Building upon this 
foundation, applied research aims to advance the current state of technology 
across a wide range of relevant application fields, including industrial 
automation and control, speech and audio signal processing, digital 
communications, biomedical data analysis and signal processing, bioinformatics 
and systems biology.

The candidate will establish an impactful mathematical engineering research 
programme focusing on computational and theoretical aspects of machine 
learning, further strengthening and complementing the current fundamental 
research activities within ESAT-STADIUS. His/her research programme will also 
be relevant to the range of application fields currently covered by 
ESAT-STADIUS, with preference given to applications in big data and e-health, 
e.g., clinical diagnostics, decision support and personalized medicine. The 
candidate will provide high-quality teaching in the Bachelor and/or Master 
programmes of the Faculty of Engineering Science, including mathematical 
engineering courses.

KU Leuven seeks to foster an environment where all talents can flourish, 
regardless of gender, age, cultural background, nationality or impairments.

For detailed information, please visit: 
https://www.kuleuven.be/personeel/jobsite/jobs/55579156?hl=en&lang=en .

Application deadline: August 15, 2020.

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