PhD Position in Protein Science: The University of Bayreuth invites applications for a PhD position at the Chair of Artificial Intelligence in Protein Science, commencing January 2026. This position offers an exciting opportunity for individuals interested in advancing their research in the interdisciplinary fields of machine learning and protein science.
PhD Position in Artificial Intelligence in Protein Science
Designation
Doctoral Student
Table
| Details | Information |
|---|---|
| Research Area | Artificial Intelligence in Protein Science |
| Location | University of Bayreuth, Germany |
| Eligibility/Qualification | Master’s degree in relevant fields |
| Remuneration | 65% according to TV-L |
| Position Duration | Initially limited to 3 years |
| Application Deadline | 31 January 2026 |
Research Area
The position focuses on developing and maintaining computational methods, algorithms, and machine learning models within the domain of protein science.
Location
University of Bayreuth, Germany
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, with hands-on experience in frameworks such as PyTorch and TensorFlow.
- Solid understanding of molecular biology and machine learning methods.
- Proven experience in data analysis and statistics.
- Excellent teamwork and communication skills, with a strong command of English.
Description
The selected candidate will:
- Develop and manage software tools and algorithms for research workflows.
- Conduct systematic literature reviews and communicate progress to the team.
- Present findings in seminars, conferences, and workshops.
- Prepare scientific manuscripts and mentor undergraduate research projects.
How to Apply
Interested candidates should send their application materials, including:
- CV
- Academic certificates and transcripts
- Motivation letter
- Names and contacts of two references
Applications should be submitted to Prof. Dr. Hadeer Elhabashy via email at Hadeer.elhabashy@uni-bayreuth.de.
Last Date to Apply
31 January 2026
This opportunity includes a secure workplace, exposure to cutting-edge research, and supporting personal and professional development within a friendly team atmosphere. Women and applicants with children are strongly encouraged to apply, and those with disabilities will receive preferential consideration in the case of equal suitability.
