Doctoral Position in Computational Membrane

**Das Aufgabengebiet umfasst u. a.**:
**Unlock the Secrets of Cell Membranes - Join Our Research Team at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany**
**About Us**:
**The Research Project**:
**Unraveling the Membrane-Selective Mechanism of Lugdunin: Insights into Specificity for Gram-Positive Bacteria and Antimicrobial Activity** The project aims to investigate the membrane-selective mechanism of Lugdunin, a cyclic heptapeptide produced by Staphylococcus lugdunensis. Lugdunin exhibits remarkable activity against multi-resistant gram-positive bacteria while showing no toxic effects on gram-negative bacteria or human cells. Previous studies suggest that Lugdunin disrupts the membrane potential of pathogens such as Staphylococcus aureus by making the membrane permeable to protons—a mechanism that remains only partially understood.
**Interdisciplinary Approach to Molecular Mechanism Research** The specificity of Lugdunin for gram-positive bacteria is hypothesized to result from their unique membrane lipid composition, which facilitates the peptide’s integration and antimicrobial activity. To unravel this mechanism, the study combines in collaboration with Prof. Claudia Steinem’s group in Göttingen cutting-edge experimental and computational methods. Together, the teams investigate the interactions of Lugdunin with membranes that mimic the characteristics of gram-positive, gram-negative, and eukaryotic cells.
The project aims to identify the molecular interactions and structural determinants underlying the antimicrobial activity and membrane selectivity of Lugdunin. These findings could pave the way for the development of novel antimicrobial peptides and innovative approaches to combat infections caused by multi-resistant bacteria.
**Collaborative Research Strengthens Antimicrobial Science** The collaboration between FAU Erlangen-Nürnberg and the University of Göttingen represents a significant step toward addressing fundamental questions in antimicrobial research. The DFG’s funding highlights the importance of this project in the global fight against multi-resistant bacterial infections while offering new therapeutic perspectives.
**Your Profile**:
**Educational Background**: Ideally, you hold a master's degree in bio-/physics, theoretical/computational chemistry, life sciences, or a related field.
**Interdisciplinary Interest**: Strong passion for interdisciplinary projects and collaboration with experimental physics, chemistry, medical and immunology groups.
**Communication Skills**: High proficiency in English and effective communication skills.
**Team Player**: Ability to thrive in a collaborative and dynamic research environment.
**Why Choose Erlangen?**
Erlangen stands as a center for immunobiology, with over 70 groups dedicated to immunological research. Additionally, Biophysical research in Erlangen was boosted by settlements of the Max-Planck Institute for the Physics of Light, and the Max-Planck-Center for Physics and Medicine. The National High-Performance Computing Center in Erlangen focuses on cutting-edge atomistic simulations, providing a stimulating environment for scientific innovation. It provides exceptional computing resources to our research on biomembranes.
**Application Process**:
**Join Us in Shaping the Future**:
Embark on a journey of groundbreaking research and contribute to the advancement of computational membrane biophysics. By joining our team, you become part of a collaborative research initiative, joining forces of biophysics and immunology.

**Notwendige Qualifikation**:
**Bemerkungen**:
**Stellenbeschreibung**:

- Beabsichtigte Eingruppierung je nach Qualifikation und persönlichen Voraussetzungen:
Entgelt-/Bes.Gr.**:E13**:

- Zeitliche Befristung: 3 Jahre Befristungsgrund: befr. Forschungsvorhaben.
- Es handelt sich um eine Vollzeitstelle.
- Sonstiges:

- Voraussichtlicher Einstellungstermin: 15.02.2025.

**Die Bewerbungsfrist endet zum: 31.12.2024.**:
**Für Auskünfte steht Ihnen zur Verfügung**:
Prof. Dr. Böckmann, Rainer
Department Biologie
Professur für Computational Biology (Prof. Dr. Böckmann)

**Die Bewerbungen sind zu richten an**:
Prof. Dr. Böckmann, Rainer
Department Biologie
Professur für Computational Biology (Prof. Dr. Böckmann)
Staudtstr. 5
91058 Erlangen

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