The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM) is a leading research center integrating biomolecular research, bioinformatics, and advanced analytical technologies to investigate the complex interactions between the human organism and food components. As part of the Leibniz Association, the institute offers a dynamic and interdisciplinary environment for cutting-edge research in food systems biology. The Molecular Modeling / Section III research group is seeking a committed PhD student to join a project focused on advancements in structural biology and AI-guided protein structure design. The research aims to elucidate the structures of receptors involved in food taste and odor perception, as well as food-derived proteins. Leveraging these structural insights, the project will pursue structure-based ligand design and develop predictive methods to identify novel food ingredients and flavor modulators. Key responsibilities include applying AI-based methodologies for protein structure prediction and conformational ensemble analysis, conducting molecular docking and cofolding studies, performing molecular dynamics simulations, and utilizing enhanced sampling techniques. The position offers a thorough induction, diverse training and development opportunities, and a collegial working atmosphere with flat hierarchies and short decision-making paths. Flexible working hours and the option for mobile working (home office) are available, along with a company pension scheme (VBL) and annual bonus payment. The ideal candidate will have a strong background in bioinformatics or computational chemistry, experience in data analysis, and solid English-language skills. Programming experience is highly recommended. Applicants should demonstrate a keen interest in the research topic, self-motivation, independence, excellent teamwork, and organizational skills. The institute is committed to equal opportunities, diversity, and a respectful working environment, welcoming applications from all backgrounds. Applicants with severe disabilities or equivalent status will be given preferential consideration in cases of equal qualification. The position is part-time (TV-L 13, 65%) and initially limited to 3 years, starting on 15 January 2026. For further information about the research group, visit the Section III webpage. To apply, send your comprehensive CV, transcripts, and names of three potential references as a PDF file, stating the reference number 2025-17-S3-ADP, via email to recruiting.leibniz-lsb@tum.de. For questions, contact Prof. Dr. Antonella Di Pizio at a.dipizio.leibniz-lsb@tum.de. Join a motivated team at the forefront of non-university research in food systems biology and contribute to innovative projects that bridge molecular modeling, AI, and food science.

The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM) is seeking a committed PhD student to join the Molecular Modeling research group (Section III) starting January 15, 2026. As a prominent member of the Leibniz Association, the institute integrates advanced biomolecular research, bioinformatics, and high-performance analytical technologies to investigate the complex interactions between the human organism and food components. This PhD project centers on leveraging advancements in structural biology and AI-guided protein structure design to gain new insights into the molecular structures of receptors responsible for food taste and odor perception, as well as food-derived proteins. The research aims to utilize structural information for structure-based ligand design and to develop predictive methods for identifying novel food ingredients and flavor modulators. Key responsibilities include applying AI-based methodologies for protein structure prediction and conformational ensemble analysis, performing molecular docking and cofolding, conducting molecular dynamics simulations, and utilizing enhanced sampling techniques. The position offers a unique opportunity to contribute to cutting-edge research at the intersection of computational chemistry, bioinformatics, and food systems biology. The ideal candidate will have a strong background in bioinformatics or computational chemistry, experience in data analysis, and solid English-language skills. Programming experience is highly recommended. Candidates should be self-motivated, able to work independently, and possess excellent team and organizational skills. The position is part-time (TV-L 13, 65%) and initially limited to three years, with benefits including a company pension scheme (VBL), annual bonus payment, flexible working hours, and the option for mobile working (home office). The institute is committed to equal opportunities, diversity, and a respectful working environment. Applications are welcome from all backgrounds, and disabled applicants will be given preference in cases of equal qualification. For further information about the research group, visit the group webpage . To apply, send your application as a PDF (including CV, transcripts, and names of three references, stating reference number 2025-17-S3-ADP) via email to Anja Albrecht ([email protected]). For questions regarding the position, contact Prof. Dr. Antonella Di Pizio ([email protected]). The application deadline is January 15, 2026. More details and the official job posting can be found here .