Professor in Computational Machine learning
Friday 26th June 2020
Closing date: August 15, 2020
Description: "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.
|Title||Professor in Computational Machine learning|