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 .