Professor in \"AI in Food Systems Biology\"

TUM – Logo Technical University of Munich (TUM) and the Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM) jointly invite applications for the position of Professor in » AI in Food Systems Biology « to begin as soon as possible. The future holder of this position will be appointed as a W3 Associate/Full Professor at TUM and will be granted leave of absence with a reduced teaching load (Jülich model) to lead a working group at Leibniz-LSB@TUM. Scientific environment At TUM, the professorship will be assigned to the TUM School of Life Sciences. The Leibniz-LSB@TUM comprises a unique and world-leading research profile at the interface of Food Chemistry and Biology, Chemosensors and Technology, and Bioinformatics and Machine Learning. Leibniz-LSB@TUM\’s aim is to develop new approaches for the sustainable production of sufficient quantities of foods whose biologically active effector molecule profiles are geared towards health and nutritional needs, but also towards the sensory preferences of consumers. The professorship will have access to the research infrastructure within Leibniz-LSB@TUM as well as institutes and core facilities available at TUM, including the BayBioMS and the ZIEL. 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 AI in food systems biology with a focus on developing AI and machine learning techniques relevant for food systems biology. We are looking for a candidate, who will develop and maintain databases and analyze multi-omics high-throughput data to predict food quality. Teaching responsibilities include courses in the university\’s bachelor and master programs, specifically in the joint bioinformatics program. 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, full commitment to interdisciplinary research and proven ability to attract third-party funding are expected. Our Offer Based on the best international standards and transparent performance criteria, TUM offers a merit-based academic career path for from a permanent position as Associate Professor and on to Full Professor. The regulations of the TUM Faculty Recruitment and Career System apply. TUM and Leibniz-LSB@TUM provide 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. As a rule, the holder of this professorship will not be employed as a civil servant (Beamte) under German law. 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 and Leibniz-LSB@TUM are equal opportunity employers and explicitly encourage 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 17 August 2025 via the TUM recruitment portal: www.recruit.tum.deInformatik Bioinformatik Ernährung Chemie Biologie Ernährung Bioinformatik Professor, Professorin Gruppenleitung, Teamleitung, Laborleitung, Abteilungsleitung, Referatsleitung Lehre & Forschung, Wissenschaft Universität Vollzeit