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University of Stuttgart

Professorship (W3) "Machine Learning for Computer Simulations"

The new professor is expected to cover the field of machine learning for computer simulations within the Stuttgart Centre for Simulation Sciences (SC SimTech). We are looking for a researcher with an excellent inter­national reputation in innovative methods for machine learning who will apply, advance and integrate these methods in the general area of simulation sciences. A combination between theoretical developments and applications to engineering and/or natural sciences is desired.

We expect significant contributions to teaching in selected (mostly German) Bachelor and Master programs. The ideal candidate is active in acquiring third-party funding and will participate in collaborative and interdisciplinary research projects at the university. The announced position is one of ten new professorships that are to be installed at the Universities of Stuttgart and Tübingen as part of the Cyber Valley initiative, a research alliance in the field of intelligent systems.

The requirements for employment listed in § 47 and § 50 Baden- Württemberg university law apply.

Applicants are asked to send their detailed curriculum vitae, copies of certificates, list of publications, research and teaching statement, reprints of three to five selected publications, and the completed application form from http://www.simtech.uni-stuttgart.de/data/downloads/ApplicationForm_ YOURNAME_MLSimSci.DOCX by e-mail to Prof. Dr.-Ing. Wolfgang Nowak, Institut für Wasser- und Umweltsystemmodellierung, Pfaffenwaldring 5a, 70569 Stuttgart, wolfgang.nowak@iws.uni-stuttgart.de, no later than 24th of October 2017.

The University of Stuttgart has established a Dual Career Program to offer assistance to partners of those moving to Stuttgart. For more information, please visit the website
https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/ Logo Logo

The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications.

Closing date: 24.10.2017
Closing date: 24 October 2017 Published on academics.com on date 13 September 2017
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