PhD student (m/f/d)

22.01.2024, Wissenschaftliches Personal

The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM) is a research institution of the Leibniz Association. The working group "Molecular Modeling" at Leibniz-LSB@TUM is looking for a PhD student to start on 01/05/2024.

The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM) is a research institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human organism and food ingredients.

The working group "Molecular Modeling" at Leibniz-LSB@TUM is looking for a

to start on 01/05/2024

Advancements in structural biology are providing new insights into the structures of receptors responsible for food taste and odor perception. The project aims to make use of the structural information of the receptors for structure-based ligand design projects in order to develop prediction methods to identify new food-derived modulators of taste and odorant receptors.

• Ligand docking
• Peptide docking
• Virtual screening
• classical explicit solvent/membrane Molecular Dynamics simulations
• enhancing sampling Molecular Dynamics simulations

The ideal applicant has a strong background in physical/computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider self-motivation and the ability to face new professional challenges as self-evident prerequisites. The ability to work independently, outstanding team skills and organizational aptitude round-out the ideal profile.

• a performance-related salary in accordance with TV-L, in-line with your personal qualifications and the personal prerequisites
• an interesting and varied task area in the field of university research
• a motivated team that is looking forward to welcoming you
• scientific development opportunities in an international and interdisciplinary research environment
• training and advanced qualifications within the Leibniz Association and the Technical University of Munich
• flexible working times and therefore good compatibility of work and family
• company pension scheme In the case of essentially reciprocal suitability, severely-disabled applicants as defined SGB IX will be preferred.

Please address any questions on current topics to [email protected] and get in touch if you think you would be interested in working as part of our team. Send your application with the usual documents, containing your comprehensive CV and transcripts as well as names of three potential references electronically as a PDF file to the following address, citing the

to Anja Magalowski (Human Resources Department) [email protected] .

As a part of your application for a position at Leibniz-LSB@TUM, you have submitted personal data to us. Please note our data protection information in accordance with Art. 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have taken note of the data protection information of Leibniz-LSB@TUM.

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: [email protected]