[Job-offers-cs] Position Tenure-Track Assistant Professor in Computational Machine Learning, KU Leuven, ESAT-STADIUS
Pekka Orponen
pekka.orponen at aalto.fi
Wed Jun 24 23:09:54 EEST 2020
-------- Forwarded Message --------
Subject: [SIAM-OPT] Position Tenure-Track Assistant Professor in
Computational Machine Learning, KU Leuven, ESAT-STADIUS
Date: Thu, 11 Jun 2020 23:27:43 +0200
From: panos patrinos <panos.patrinos at esat.kuleuven.be>
To: Pekka Orponen <pekka.orponen at aalto.fi>
CC: Optimization SIAG mailing list <siam-opt at siam.org>
*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 complementingthe 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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