PhD Position in Protein Science: The University of Bayreuth invites applications for a PhD position in the Chair of Artificial Intelligence in Protein Science. This opportunity offers candidates the chance to engage in cutting-edge research, develop computational methods, and contribute to significant advancements in the field.
PhD Position in Artificial Intelligence in Protein Science
Designation
PhD Position (F/M/D) – Chair of Artificial Intelligence in Protein Science
Table
| Feature | Details |
|---|---|
| Research Area | Artificial Intelligence in Protein Science |
| Location | University of Bayreuth, Germany |
| Remuneration | 65% according to TV-L |
| Duration | Initially limited to 3 years |
| Application Deadline | 31 January 2026 |
Eligibility/Qualification
- Master’s degree in Bioinformatics, Biophysics, Computational Biology, Computer Science, Machine Learning, or a related discipline with an excellent academic record.
- Strong programming skills in Python; hands-on experience with PyTorch and TensorFlow.
- Solid understanding of molecular biology and machine learning methods.
- Proven experience in data analysis, statistics, and working with biological databases.
- Excellent teamwork and communication skills; very good command of English.
Description
The doctoral student will be responsible for:
- Developing and maintaining computational methods, algorithms, and machine learning models.
- Building and managing software tools, pipelines, and web applications to support research workflows.
- Conducting systematic literature reviews and regularly communicating research progress.
- Actively participating in group meetings and collaborating with team members.
- Presenting research findings in academic settings, creating high-quality visualizations, and preparing manuscripts for publication.
- Tutoring university-level courses and mentoring bachelor and master students when appropriate.
What You Can Expect:
- Exposure to cutting-edge research projects and methods in machine learning and protein science.
- A supportive working atmosphere with opportunities for personal and professional development.
- Flexible work arrangements, paid vacation, and support for participation in scientific conferences.
How to Apply
Interested candidates should send their application, including:
- CV
- Academic certificates and transcripts
- Motivation letter
- Names and contacts of two references
Applications should be sent to:
Prof. Dr. Hadeer Elhabashy
Email: Hadeer.elhabashy@uni-bayreuth.de
Note: Application documents will be deleted after the position is filled, in accordance with data protection regulations.
Last Date to Apply
31 January 2026
This opportunity encourages diversity and welcomes applications from women and individuals with disabilities.
