Skip to main content

This job has expired

Tenure Track Assistant Professor in Computational Mass Spectrometry

Employer
TECHNICAL UNIVERSITY MUNICH (TUM)
Location
Munich, Germany
Closing date
31 Oct 2019

The Technical University of Munich (TUM) invites applications for the position of Tenure Track Assistant Professor in »Computational Mass Spectrometry« 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 School of Life Sciences Weihenstephan (www.wzw.tum.de) and is affiliated with the Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS; www.baybioms.tum.de).   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 large-scale proteomic and metabolomic data analytics with a focus on machine learning and the development of high performance databases. Teaching responsibilities include lectures, seminars and practical courses in the university’s bachelor and master programs, particularly in the joint study program Bioinformatics of the Technical University of Munich and the Ludwig-Maximilians-University Munich.  

Qualifications

We are looking for a candidate who has already demonstrated outstanding initial scientific achievements and promises to perform independent research at the highest international level. 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. Further expectations include a full commitment to endorse interdisciplinary research, proven experience in proteomics and/or metabolomics research, and expert knowledge in informatics – notably large-scale mass spectrometry data processing, development of result databases, multi-omics data integration, real-time data analytics and machine learning. Ideally, candidates have already shown the ability to lead research teams and projects as well as to at-tract third-party funding.  

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 perfor-mance-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 profes-sors, 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 Ca-reer System are available under www.tum.de/faculty-recruiting. Here, you will also find TUM’s infor-mation on collecting and processing personal data as part of the application process. Applications should be addressed to the Dean of TUM School of Life Sciences Weihenstephan, Prof. Thomas Becker, Alte Akademie 8, 85354 Freising. Email address for applications: dekanat@wzw.tum.de.

The deadline for applications is 31.10.2019.

Kontakt: dekanat@wzw.tum.de

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert