Phd Student

22.01.2024

**PhD student (w/m/d) Molecular Modeling**:
**Leibniz-Institut für Lebensmittel-Systembiologie (LSB), Freising**:
**PhD student (w/m/d)**:
to start on 01/05/2024

**Project**: 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.

**Area of responsibility includes**:

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

**Requirements**:
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.

**In addition to a varied workplace where your performance counts, we offer**:

- 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.

**Notes on data protection