Description

Postdoc on the evolution of heteroresistance and phenotypic heterogeneity in bacteria at Kiel, Germany

Application deadline: 27. August 2026.

 The postdoc position is for 5 years and it is based in the Schulenburg group (https://evoecogen-kiel.de/). The research is part of the ERC project on CrypticBenefits and aims at understanding how antimicrobial heteroresistance and more generally phenotypic heterogeneity evolves in bacteria. As a model, we will focus on the opportunistic bacterial pathogen Pseudomonas aeruginosa. The work combines evolution experiments with whole genome sequence analysis, bacterial genetics, and functional analysis. As a general reference, check out the group’s publications on AMR evolution, as listed on our webpage (https://evoecogen-kiel.de/publications).

For enquiries regarding the position and research topic please contact Prof. Dr. Hinrich Schulenburg: hschulenburg@zoologie.uni-kiel.de 

Please apply via the following link:

https://www.uni-kiel.de/personal/de/stellen/extern/wiss/wissenschaftliche-mitarbeiter-in-am-zoologischen-institut-ag-schulenburg

Applications should be submitted as a single PDF. Applications should include: 

(1) A letter of motivation (max. 2 pages, Arial 11, line spacing 1.15). In your motivation letter, please explain how your background fits the required profile and how your research interests align with the group research focus.

(2) Curriculum vitae.

(3) PhD certificate

Requirements

Necessary competences and qualifications:

• PhD in the area of Evolutionary Biology
• In-depth knowledge of central concepts of Evolutionary Biology
• Competences and experiences in research on the Evolution of microorganisms
• Competences and experiences in the field of statistics and bioinformatics
• English language skills at level C1

Beneficial competences:

• Competences and experience in the planning and performance of evolution experiments
• Competences and experience in high-throughput experiments
• Competences and experience in genome analysis
• Competences and experience in genetic manipulation of microorganisms
• Competences and experience in advanced statistics (e.g., multivariate statistics, GLMs) and programming (e.g., python, R)
• Publication(s) from earlier research work