Summary
Lund University is seeking a highly motivated Postdoctoral Researcher to join the Protein Evolution research group at the Department of Experimental Medical Science. This position focuses on structural bioinformatics and bacteriophage protein evolution, investigating the molecular mechanisms of microbial biological conflict. The successful candidate will combine protein structure and complex prediction with comparative genomics and evolutionary analysis to uncover uncharacterised molecular interactions in phage biology and virus-host interactions.
Postdoctoral Researcher in Structural Bioinformatics and Bacteriophage Protein Evolution at Lund University
Designation
Postdoctoral Researcher
Research Area
- Structural Bioinformatics
- Bacteriophage Protein Evolution
- Comparative Genomics
- Protein Structure Prediction
- Microbial Biological Conflict
Location
Biomedical Centre (BMC), Lund, Skåne län, Sweden
Eligibility/Qualification
Requirements:
- A doctoral degree or equivalent foreign degree in bioinformatics, molecular biology, microbiology, or a related discipline. The degree must be obtained no later than the appointment decision date.
- Demonstrated ability to develop and conduct high-quality research.
- Strong programming skills (e.g., Python).
- In-depth knowledge of bacteriophage molecular biology.
- Extensive experience in protein structure prediction and its application to biological research.
- Published bacteriophage-related research in reputable journals.
Meritorious Qualifications:
- Graduated no more than three years before the application closing date.
- Experience in predicting functions of uncharacterised proteins by integrating sequence, structural, and genomic context information.
- Experience in interdisciplinary research collaborations.
- Contribution to open-source bioinformatics tools.
- Teaching ability.
Job Description
The postdoctoral researcher will be part of the Protein Evolution research group, led by Gemma C. Atkinson. The project involves combining protein structure and complex prediction with comparative genomics and evolutionary analysis to investigate interactions among bacteriophage proteins and between phage proteins and their bacterial hosts. The primary goal is to uncover uncharacterised molecular interactions and understand how protein evolution shapes their functions in phage biology and virus-host interactions. Computational predictions will generate hypotheses for experimental investigation in collaboration with research partners.
Tasks and Responsibilities:
- Conduct computational research, including Python programming and high-throughput protein structure prediction using high-performance computing infrastructure.
- Work collaboratively with research team members and external collaborators.
- Develop research independence and broaden scientific expertise.
- Opportunities to contribute to teaching and supervise Master’s students.
The position is a fixed-term, full-time (100%) employment for two years, with a potential extension up to three years, intended as an initial career step to deepen and broaden research expertise.
How to Apply
Applications must be submitted via the university’s recruitment system. The application should include:
- A personal letter explaining your interest in the position and how your qualifications match.
- Copies of degree certificates.
- A CV including publications, links to code (e.g., GitHub), and contact details of two referees.
Last Date for Apply
20.Oct.2026
Apply Link
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