The University of Bayreuth is offering a PhD position at the Chair of Artificial Intelligence in Protein Science, starting January 2026. This research-oriented university is known for its interdisciplinary approach and state-of-the-art facilities. The successful candidate will join a dynamic team focused on developing computational methods, algorithms, and machine learning models to advance protein science. Responsibilities include building and managing software tools, conducting systematic literature reviews, presenting research findings, and contributing to scientific publications. The role also involves mentoring students and participating in teaching activities.

Applicants should have a Master’s degree in Bioinformatics, Biophysics, Computational Biology, Computer Science, Machine Learning, or a related field, with an excellent academic record. Essential skills include strong programming abilities in Python, experience with PyTorch and TensorFlow, and a solid understanding of molecular biology and machine learning. Experience in data analysis, statistics, and working with biological databases is required. The ideal candidate is curious, well-organized, self-driven, and possesses excellent teamwork and communication skills, along with a very good command of English.

The position is funded at 65% of the TV-L scale and is initially limited to three years. Benefits include paid vacation, flexible work arrangements, and support for attending scientific conferences and networking events. The University of Bayreuth values diversity and is committed to gender equality, welcoming applications from women and individuals with children. Applicants with disabilities will be given preferential consideration if equally qualified.

To apply, candidates should send their CV, academic certificates and transcripts, motivation letter, and contact details of two references to Prof. Dr. Hadeer Elhabashy at [email protected], using the subject line 'PhD Position Inquiry.' The application deadline is 31 January 2026. For more information, visit the university's job portal or contact Prof. Dr. Elhabashy directly.