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Professor in » Computational Methods in Civil and Environmental Engineering «
Technische Universität München (TUM)

Professor in » Computational Methods in Civil and Environmental Engineering «

2025-07-20 (Europe/Berlin)
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The Technical University of Munich (TUM) invites applications for the position of

 Professor
in » Computational Methods in Civil and Environmental Engineering «
W3 Associate/Full Professor; to begin as soon as possible.

Scientific environment

The professorship will be assigned to the Department of Civil and Environmental Engineering at the TUM School of Engineering and Design.

Responsibilities

The responsibilities include research and teaching as well as the promotion of early-career scientists. We seek to appoint an expert in the research area of Computational Methods in Civil and Environmental Engineering with a focus on the development of computational methods, including numerical methods for simulation in meso- and macro-scale, methods for modeling and simulating environmental processes, methods for combining data- and physics-driven modeling, among others. Teaching responsibilities include courses in the university’s study programs Civil Engineering, Environmental Engineering, Computational Mechanics and Information Technology for the Built Environment.

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, proven ability and experience in research or science management and leadership and the proven ability to gain and to lead cooperative research projects and to attract third-party funding (DFG, EU, …) 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. The MDCO assists the 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 applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. 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 submit your application by 20 July 2025 via the TUM recruitment portal: www.recruit.tum.de.

For any queries please contact [email protected].

Job details

Title
Professor in » Computational Methods in Civil and Environmental Engineering «
Location
Arcisstraße 21 Munich, Germany
Published
2025-06-10
Application deadline
2025-07-20 23:59 (Europe/Berlin)
2025-07-20 23:59 (CET)
Save job

About the employer

TUM is committed to excellence in research and teaching, interdisciplinary education and the active promotion of promising young scientists.

Visit the employer page

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