Postdoctoral Position in Computational Biology: The University of Cologne, one of Europe’s largest and oldest universities, is inviting applications for a Postdoctoral Position in Computational Biology within the Collaborative Research Center (CRC) “Predictability in Evolution.” The center brings together interdisciplinary expertise in molecular genetics, biophysics, medicine, and theoretical modeling to study evolutionary systems in microbial, viral, cancer, and immune contexts.
The selected candidate will contribute to cutting-edge research by analyzing large-scale molecular datasets, developing computational algorithms, and collaborating closely with experimental scientists. This position offers an exciting research environment, access to advanced training facilities, and opportunities to work on impactful biomedical and public health challenges.
Summary Table
| Category | Details |
|---|---|
| Position Title | Postdoctoral Position in Computational Biology (f/m/x) |
| Organization | University of Cologne |
| Research Center | Collaborative Research Center “Predictability in Evolution” |
| Location | Cologne, Germany |
| Employment Type | Full-Time (39.83 hours/week) |
| Contract Duration | Initial 2 years (possible extension) |
| Salary | According to TV-L E13 (German public sector pay scale) |
| Start Date | 1 June 2026 |
| Application Deadline | 1 April 2026 |
| Reference Number | Wiss2603-02 |
Designation
Postdoctoral Researcher / Computational Biologist
Research Area
- Computational Biology
- Evolutionary Biology
- Bioinformatics and Algorithm Development
- Machine Learning for Biological Data
- Analysis of High-Throughput Molecular Data (e.g., single-cell RNA-seq)
- Systems Biology and Public Health Data Analytics
Location
University of Cologne, Cologne, Germany
Eligibility / Qualification
Applicants should meet the following criteria:
- Doctoral degree (PhD) in computational biology, bioinformatics, computer science, physics, or a related field.
- Advanced skills in data manipulation, analysis, and software development.
- Proven expertise in at least one of the following areas:
- Algorithm design
- Analysis of high-throughput molecular datasets (e.g., single-cell RNA-seq)
- Machine learning and language models applied to biological data
- Strong interest in evolutionary and biomedical research topics.
- Excellent written and spoken English communication skills.
Job Description
The successful candidate will contribute to interdisciplinary research activities within the CRC “Predictability in Evolution.” Key responsibilities include:
- Analyzing high-throughput molecular datasets from biological systems.
- Designing and optimizing computational algorithms for evolutionary research problems.
- Developing independent strategies for data analysis and scientific problem-solving.
- Collaborating closely with experimental scientists from project planning to data interpretation.
- Developing custom computational tools for analyzing large-scale biological datasets related to public health and biomedical research.
Benefits / What the University Offers
- A dynamic and interdisciplinary research environment.
- Opportunities to develop advanced computational and analytical skills.
- Access to joint research infrastructure and training facilities.
- A diverse and inclusive workplace with equal opportunities.
- Flexible working hours and remote work possibilities.
- Work–life balance support, including family-friendly policies.
- Extensive professional training opportunities.
- Occupational health management programs.
How to Apply
Interested candidates should submit their online application with proof of required qualifications via the University of Cologne job portal. Applications must not include a photo.
Application portal:
https://jobportal.uni-koeln.de
Reference Number: Wiss2603-02
For further inquiries, applicants may contact Stephan Kleinbölting.
Last Date to Apply
1 April 2026
