PhD Positions in Computational Biology at Friedrich-Alexander University (FAU), Erlangen-Nürnberg, Germany 🌿🔬
The Department of Computational Biology at Friedrich-Alexander University (FAU) in Erlangen-Nürnberg, Germany, is inviting applications for multiple fully funded PhD positions. These positions provide an exciting opportunity for early-career researchers to engage in groundbreaking interdisciplinary projects at the forefront of computational biology, biomembrane biophysics, and immunophysics.
If you’re passionate about understanding complex biological systems using computational tools and eager to collaborate with world-class researchers, this is your chance to advance your career in one of Europe’s premier research environments.
Research Focus and Projects
1. Enhancing Antibiotics with Membrane-Active Peptides
This project, funded by the Leibniz Association, investigates how membrane-active peptides can synergize with antibiotics to enhance drug delivery and target binding. The research aims to optimize the interaction between peptides and lipid membranes, facilitating the development of next-generation antimicrobial therapies.
- Collaboration: Work closely with top research groups in Jena, Borstel, and Hamburg.
- Methods: Use cutting-edge molecular dynamics simulations and experimental approaches to decode the molecular mechanisms behind peptide-membrane interactions.
2. Immune Receptor Crosstalk and Inflammation
Funded by the German Science Foundation (DFG), this project focuses on understanding the competitive binding of immune receptors and their clustering behavior. It examines how lipid environments influence receptor function, contributing to inflammation modulation and autoimmune disease mechanisms.
- Collaborative Efforts: Partner with immunology labs to explore receptor dynamics in immune cells.
- Goals: Investigate autoantibody-driven inflammation to uncover potential therapeutic targets for immune-related diseases.
3. Biomembrane Modeling with Lipid Bicelles
Another exciting area of research at FAU involves studying lipid bicelles as a model for biomembranes. This project explores how lipid composition and dynamics contribute to membrane elasticity, curvature, and protein-lipid interactions.
Why Choose FAU for Your PhD?
- World-Class Research Environment:
- FAU is home to the National High-Performance Computing Center (NHR@FAU), providing access to advanced computational tools.
- The university collaborates with the International Max Planck Research School for Physics and Medicine, ensuring a multidisciplinary approach to research.
- State-of-the-Art Resources:
- Access to cutting-edge facilities, including simulation software for molecular dynamics and specialized tools for biophysical experiments.
- Work alongside more than 70 immunology-focused research groups in Erlangen.
- Collaborative and Supportive Community:
- Opportunities to engage with experts in computational biology, immunology, and biophysics.
- A vibrant academic culture that encourages innovation and collaboration.
- Prime Location:
- Situated in Erlangen, a hub for science and technology in Germany.
- Proximity to renowned institutions like the Max Planck Institute for Physics of Light.
Candidate Profile
To thrive in these roles, candidates should meet the following criteria:
- Educational Background:
- A Master’s degree in Biophysics, Computational Biology, Life Sciences, or a related field.
- Technical Skills:
- Familiarity with molecular dynamics simulations, data analysis tools, and programming languages is highly desirable.
- Collaborative Mindset:
- Strong communication skills and the ability to work in an interdisciplinary team are essential.
- Language Proficiency:
- Fluency in English is required; German language skills are an advantage but not mandatory.
Benefits of Joining FAU
- Fully Funded Program: Competitive salary and funding covering tuition and research expenses.
- Professional Development: Attend international conferences, workshops, and networking events.
- Impactful Research: Contribute to projects addressing pressing global health challenges, such as antimicrobial resistance and autoimmune diseases.
Application Process
To apply for these prestigious PhD positions, prepare the following documents:
- Cover Letter: Highlight your research interests and relevant experience.
- Curriculum Vitae: Include detailed academic and professional achievements.
- Academic Certificates: Submit transcripts and proof of degrees obtained.
Submit Your Application:
- Email your application as a single PDF to rainer.boeckmann@fau.de.
- Deadline: Applications are reviewed on a rolling basis; early submissions are encouraged.
Learn More and Apply
For more details about these PhD positions and other opportunities at FAU, visit the official Biomemphys Jobs Page
Embark on your journey with FAU to contribute to innovative research and shape the future of computational biology. Follow Daily First for regular updates on global academic and research opportunities! 🌍
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