Professor in Physics-enhanced Machine Learning

Technical University of Munich (TUM)
Munich
  • Job Type
    Employee
  • Job Status
    Full Time

TUM

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.

Categories

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Professor in Physics-enhanced Machine Learning

Technical University of Munich (TUM)
Munich

Join us to start saving your Favorite Jobs!

Sign In Create Account