Professor in Machine Learning for Sustainable Processes and Materials (m/f/d)

The Technical University of Munich (TUM) invites applications for the position of Professor in "Machine Learning for Sustainable Processes and Materials" W3 Associate Professor; to begin as soon as possible. Scientific environment The professorship will be assigned to the TUM Campus Straubing for Biotechnology and Sustainability and will play a central role in interdisciplinary and transdisciplinary research at the interface between data science, life sciences, and bioeconomics. The professor will closely cooperate with the TUM School of Computation, Information and Technology (CIT), the TUM School of Life Sciences (LS), and with the Excellence Cluster BioSysteM. 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 for Sustainable Processes and Materials with a focus on data-driven methods for modeling, analyzing, and optimizing complex biological, biotechnological and agricultural systems. The main focus is on machine learning approaches, in particular statistical learning, reinforcement learning, deep learning, and computer vision, as well as the statistical and bioinformatics analysis of chemical and biological processes and systems, and to gain a deeper understanding of biochemical and biotechnological processes and systems through the integration of modern data science, machine learning and bioinformatics methods. This also includes modern in silico methods for analyzing genomic, genetic, and phenotypic data. The focus is on applying data science methods to support the transition to a sustainable bioeconomy, taking into account economic and social science aspects. Teaching responsibilities include courses in the university's bachelor and master programs at TUMCS (Professional Profile Bioeconomy) in German and English. 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 for further information). A university degree in bioinformatics and an outstanding doctoral degree or equivalent scientific qualification, as well as pedagogical aptitude, are prerequisites. Substantial research experience abroad is expected. Successful applicants will have the proven ability to acquire and to lead cooperative research projects and to attracting third-party funding. Our Offer Based on the best international standards and transparent performance criteria, TUM offers a merit-based academic career through a permanent position as Associate Professor, and on to Full Professor. The regulations of the 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 and in Straubing. 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 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 is an equal opportunity employer and explicitly encourages 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 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 30 September 2025 via the TUM recruitment portal: .