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Job ID: 164110

Professor in Physics-enhanced Machine Learning
Technical University of Munich (TUM)


Date Posted Jul. 28, 2021
Title Professor in Physics-enhanced Machine Learning
University Technical University of Munich (TUM)
Munich, Germany
Department TUM Department of Informatics
Application Deadline Sep. 19, 2021
Position Start Date Available immediately
 
 
  • Professor
  • Sciences - General
    Physics - General
    Mathematics/Applied Mathematics
    Computer/Information Sciences
 
 
1  2 

The Technical University of Munich (TUM) invites applications for the position of

Professor in » Physics-enhanced Machine Learning «

W2 Tenure Track Assistant Professor (with tenure track to W3) or W3 Associate/Full Professor; to begin as soon as possible.

Scientific environment
The professorship belongs to the TUM Department of Informatics and in the future to the TUM School of Computation, Information & Technology and is affiliated with the Munich Data Science Institute (MDSI), TUM’s central interface and innovation hub for questions and solutions arising from Data Science, Machine Learning and Artificial Intelligence (https://www.mdsi.tum.de/en/mdsi/home/).

Responsibilities
The responsibilities include research and teaching well as the promotion of early-career scientists. We seek to appoint an expert in the research areas of Physics-enhanced Machine Learning with a focus on integration of model knowledge into Machine Learning and learning of (physical) equations or dynamics. Teaching responsibilities include courses in the university’s bachelor and master programs.

Qualifications
We are looking for candidates who have demonstrated excellent achievements in research and teaching in an internationally recognized scientific environment, relative to the relevant career level (please see www.tum.de/en/faculty-recruiting-faq/ for further information).
A university degree and an outstanding doctoral degree or equivalent scientific qualification, as well as pedagogical aptitude, are prerequisites. Substantial research experience abroad is expected.

Our Offer
Based on the best international standards and transparent performance criteria, TUM offers a merit-based academic career path for tenure track faculty from Assistant Professor through a permanent position as Associate Professor, and on to Full Professor. The regulations of the TUM Faculty Recruitment and Career System apply.
TUM provides excellent working conditions in a lively scientific community, embedded in the vibrant research environment of the Greater Munich Area. The TUM environment is multicultural, with English serving as a common interface for scientific interaction. TUM offers attractive and performance-based salary conditions and social benefits
The TUM Munich Dual Career Office (MDCO) provides tailored career consulting to the partners of newly appointed professors. MDCO gives assistance for relocation and integration of new professors, their partners and accompanying family members.

Your Application
TUM is an equal opportunity employer and explicitly encourages applications from women. The position is suitable for disabled persons. Disabled candidates with essentially the same qualifications and scientific performance as other candidates will be given preference.
Application documents should be submitted in accordance with TUM’s application guidelines for professors. These guidelines and detailed information about the TUM Faculty Recruitment and Career System are available at www.tum.de/faculty-recruiting. Here you will also find TUM’s information on collecting and processing personal data as part of the application process.

Please send your application no later than September 19, 2021 to the Dean of the Department of Informatics, Prof. Dr. Hans-Joachim Bungartz, Email address for applications: bewerbung.dekanat@in.tum.de.


 
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Contact Information

 
  • Prof. Dr. Hans-Joachim Bungartz
    TUM Department of Informatics
    Technical University of Munich (TUM)
    Munich
    Germany
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