Tenure Track Assistant Professor in Advanced Data Analysis and Structuring in Radiology
The Technical University of Munich (TUM) invites applications for the position of Tenure Track Assistant Professor in » Advanced data analysis and structuring in Radiology « to begin at the earliest possible date, not later than 1 October 2020 . The position is a W2 fixed-term position (6 years) with tenure track to a tenured W3 position (Associate Professor). The professorship is intended to be funded by the Federal Tenure Track Programme.
The professorship belongs to the TUM School of Medicine and will be part of the Department of Diagnostic and Interventional Radiology. TUM School of Medicine is one of Germany's top medical schools in research and in teaching. Close interactions with the Institute of Medical Informatics, Statistics and Epidemiology and the Munich School of BioEngineering, as well as with further informatics, bioengineering, medical physics, mathematics and data science groups at TUM enable innovative, interdisciplinary and translational research.
Responsibilities of the position include research and teaching, as well as the promotion of early-career scientists. The professorship is part of an emerging research focus at TUM School of Medicine, which bridges the evolution of advanced data management, computer learning methods and the translation of multi data approaches into clinical routine diagnostics. Therefore, we seek to appoint an expert in the re-search area advanced data management, PACS management/big data analysis and machine learning, to ensure the integration of multi-omics data with morphology and to enable the identification of disease-specific and tissue-specific biomarkers. The teaching load includes courses in the subject area and basic courses offered by the TUM School of Medicine, as well as courses for other TUM schools and departments.
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 are also prerequisites. Substantial research experience abroad, and proven ability to acquire competitive third-party funding (e.g. DFG, EU) are expected. A successful application for an advanced personal research fellowship (e.g. Heisenberg fellowship, ERC grant) is desirable. Relevant knowledge in bioinformatics/mathematics processing of life science omics datasets and/or a profound knowledge of advanced IT infrastructure and/or learning algorithms in computer vision/image analysis is required.
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. TUM environment is multicultural, with Eng-lish serving as a common interface for scientific interaction. 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.
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 profes-sors. 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 April 15, 2020 to the Dean of the TUM School of Medicine, Prof. Hemmer, Ismaninger Str. 22, 81675 München, Email address for applications: firstname.lastname@example.org.