‘Professor in Machine Learning for Sustainable Processes and Materials

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 www.tum.de/en/faculty-recruiting-faq/ 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 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 30 September 2025 via the TUM recruitment portal: www.recruit.tum.de.