Technische Universität München
The Technical University of Munich (TUM) invites applications for the position of Full Professor in » Artificial Intelligence for the Built World « to begin in winter semester 2021/22. The position is a tenured W3 position. The professorship is en-dowed by the Nemetschek Innovation Foundation. At the same time, the position holder is appointed founding director of the new "TUM Georg Nemetschek Institute Artificial Intelligence for the Built World". The institute is expected to establish itself as an internationally visible center of excellence in the field of artificial intelligence in the building industry.
The professorship will be assigned to the TUM School of Engineering and Design and is affiliated with the Integrative Research Center (IRC) Munich Data Science Institute (MDSI). It is strongly connected to the Departments of Architecture, Civil and Environmental Engineering, Engineering Physics & Computation and Computer Science as well as to the Leonhard Obermeyer Center of Digital Methods for the Built Environment of TUM.
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 Artificial Intelligence for the Built World with a focus on Artificial Intelligence, Machine Learning, Data Centered Engineering and related data and knowledge based technologies, with special dedication to applications in architecture, engineering, construction, operate & manage in built environment (AECOM). Teaching responsibilities include courses in the university’s bachelor and master programs.
We are looking for candidates with an exceptional international research and teaching reputation and an established academic record through an internationally recognized research program. 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. Furthermore, full commitment to do interdisciplinary research, proven ability and experience in research/science management and leadership, proven ability to gain and to lead cooperative research projects and to attracting third-party funding (ERC, DFG, EU, AiF or equivalent) as well as proven ability to develop strategic concepts for AI for the Built World is expected. Cooperation with and transfer to industrial or public partners is a further prerequisite.
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 Georg Nemetschek Institute delivers exceptional support for collaborative and multidisciplinary research with scientists at TUM as well as with partners from research and industry all over the world. 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.
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 ?url=www.tum.de%2Ffaculty-recruiting&module=jobs&id=161323" target="_blank" rel="nofollow">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 14 March 2021 to the Dean of Civil and Environmental Engineering, Prof. Christoph Gehlen. Email address for applications: dekanat.bgu