For a core project of the Germany-wide GEvol consortium on comparative evolutionary genomics (DFG SPP 2349) commencing on 1 April 2026. We are offering a fixed-term full-time position (100%) corresponding to the project’s duration for three years. The project will be supervised in close collaboration between the groups of PD Katharina Hoff in Greifswald and Prof Erich Bornberg-Bauer in Münster with primary location to be determined.
Your tasks:
* Develop cutting edge methods for accurate functional annotation of novel and de novo expressed genes and other rare genomic elements using machine learning techniques.
* Combine bioinformatics methods and further recently developed methods such as Tiberius, Galba and BRAKER3.
* Testing and application of the newly to be developed methods shall be done in close collaboration with other members of the GEvol consortium.
Our expectations:
* A PhD and a master’s degree in natural science, computer science or closely related areas.
* Strong skills in biocomputing, bioinformatics and experience with Python, Linux, Bash, machine learning methods.
* A proven record of having worked on analysing large biological data sets.
* Excellent communication and interpersonal skills, including oral and written fluency in English.
* Experience in Writing and publishing papers in international journals.
* International experiences
* German language skills are not a requirement, but a willingness to learn would be advantageous.
Advantages for you:
* Appreciation, commitment, openness and respect – values which are important to us.
* Our broad range of diverse work-time models offers great flexibility – also when working from home.
* If you have family members or young children in your care, our Family Service Office offers concrete support to help you balance your private and professional responsibilities.
* As an educational institution, we are deeply committed to offering occupational training and continuing education opportunities tailored to your individual needs.
* From A – Z, Aikido to Zumba, our sport and health programmes ensure a healthy work-life balance.
* As a university employee, you are entitled to numerous benefits afforded to public servants, e.g. an attractive company pension scheme ( VBL ), an annual end-of-year bonus and a position that is shielded from economic fluctuations.
The University of Münster strongly supports equal opportunity and diversity. We welcome all applicants regardless of sex, nationality, ethnic or social background, religion or worldview, disability, age, sexual orientation or gender identity. We are committed to creating family-friendly working conditions. Part-time options are generally available.
We actively encourage applications by women. Women with equivalent qualifications and academic achievements will be preferentially considered unless these are outweighed by reasons which necessitate the selection of another candidate.
If you have any questions, please contact Dr Anna Kersting ( gevol@uni-muenster.de ). Are you interested? Then we look forward to receiving your application electronically in PDF Format to ebb.admin@uni-muenster.de by 2026-01-06. Please note that we cannot consider other file formats. Applications should include a brief CV (maximum 2 pages) detailing, in reverse chronological order: biographical information, academic career, education, special relevant skills, publications (or submittable manuscripts), the names and contact details of two prospective referees and a short specific statement of your research interests. Please address your application to: Prof Erich Bornberg-Bauer
The University of Münster
Institute for Evolution and Biodiversity
The Molecular Evolution and Bioinformatics Research Group
Hüfferstrasse 1, 48149 Münster
E-Mail: ebb.admin@uni-muenster.de Reference number: 2025_11_29