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

Tenure Track Assistant Professor in » Machine Learning of 3D Scene Geometry «

to begin in winter semester 2019/20. The position is a W2 fixed-term position (6 years) with tenure track to a tenured W3 position (Associate Professor). The professorship is funded by the Federal Tenure Track Programme. Scientific environment
The professorship belongs to the TUM Department of Informatics. 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 Machine Learning of 3D Scene Geometry with a focus on Machine Learning 3D Content Creation and Semantic Understanding of RGB-D Indoor Scans. The teaching load includes courses in the university‘s bachelor and master programs. Qualifications
We are looking for a candidate who has demonstrated initial scientific achievements and the capacity for independent research at the highest international standards. A university degree and an outstanding doctoral degree or equivalent scientific qualification as well as pedagogical aptitude, including the ability to teach in English, are also prerequisites. Substantial research experience abroad is expected. Our Offer
Based on best international standards and transparent performance criteria, TUM offers a merit-based academic career option for tenure track faculty from Assistant Professor through a permanent position as Associate Professor, and on to Full Professor. The regulations of 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. Furthermore, TUM offers attractive and performance-based salary conditions and additional 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. As such, we explicitly encourage applications from women. Applications from disabled persons with essentially the same qualifications 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 on 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 June 21, 2019 to the Dean of Informatics, Prof. Hans-Joachim Bungartz, Boltzmannstr. 3, 85748 Garching. Email address for applications:
bewerbung.dekanat@in.tum.de.