The Faculty of Science at Radboud University (Nijmegen, Netherlands) initiated the Christine Mohrmann Fellowship programme in 2016 to attract and promote …
Three assistant/associate professor positions in Machine Learning
Department of Electrical Engineering: Three assistant/associate professor positions in Machine LearningWelcome to the Brainport technology region.Eindhoven …
- de Rondom, Eindhoven, Noord-Brabant
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 uur
FunctieomschrijvingDepartment of Electrical Engineering: Three assistant/associate professor positions in Machine Learning
Welcome to the Brainport technology region.
Eindhoven and the Brainport technology region are a hotbed of cross-pollination and creativity where pure science is given real world meaning. The university's culture of curiosity breaks down barriers between disciplines so that breakthroughs are celebrated as one and challenges are confronted from all angles. Your location at the heart of a thriving community of engineers from some of the world's most innovative companies keeps you grounded and ensures streamlined, relevant solutions.
The Department of Electrical Engineering at the Eindhoven University of Technology (TU/e) invites applications for tenure-track assistant/associate professor positions in Efficient Machine learning. The start date in 2018 is flexible. The screening of applications will start on June 30th, 2018.
TU/e is a globally highly-ranked technical university, in particular with regards to collaboration with industry and the global impact of its scientific research (see https://goo.gl/3AucT3).
TU/e has identified Artificial Intelligence (AI) as one of the key multi-disciplinary research objectives in its R&D roadmap to 2030. In that realm, various research groups across the university have developed active and visible AI-related research initiatives over the past few years. There is an ongoing initiative both at the university board level and the faculty level to strengthen our research and education in this direction.
We look for candidates with solid expertise in machine learning technologies who are interested in contributing to scientific innovation and education in any of the following research directions:
As a newly appointed faculty member, you will get the opportunity to start your own lab on ML and maintain an active collaboration on the ML-related research activities at the department and beyond. Next to the quality and impact of conducted research, your educational skills are very important since we expect you to develop and teach ML courses at all levels.
We are looking for candidates that match the following profile:
Additionele informatieMore information
If interested, please use the 'apply now'-button at the top of this page. You should upload the following:
Please keep in mind that you can upload only 5 documents up to 2 MB each.
Screening of applicants will start as soon as applications are received and will continue until the positions have been filled.
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