Postdoctoral Researcher- Computational Biology: Join the dynamic and international team at Universität zu Köln’s Institute for Plant Sciences/CEPLAS as a Postdoctoral Researcher in Computational Biology. Develop a multi-scale modelling framework to study the adaptive potential of ecological performance in A. thaliana, collaborate with colleagues, present findings, and engage in independent research proposals.
Designation: Postdoctoral Researcher (f/m/x)
Research Area: Computational Biology
Location: Institute for Plant Sciences/CEPLAS, Universität zu Köln, Cologne, Germany
Eligibility/Qualification:
- PhD in Physics, Mathematics, Computational Biology, or a related discipline
- Experience in modelling metabolic networks or other physiological and physical processes
- Excellent programming skills
- Knowledge in plant physiology
- High degree of self-initiative and individual responsibility
- Excellent oral and written communication skills in English
Job Description:
- Develop a multi-scale modelling framework to study the adaptive potential of ecological performance in A. thaliana
- Collaborate closely with colleagues and partners
- Present research results at conferences and in scientific articles
- Engage in writing independent research proposals
- Supervise, train, and teach students
How to Apply:
Please apply online with proof of the required qualifications without a photo under: https://jobportal.uni-koeln.de. The reference number is Wiss2402-25. For further inquiries, please contact Professor Dr Nadine Töpfer at ntoepfer@uni-koeln.de.
Last Date for Apply: 02.05.2024
The position is available immediately on a full-time basis (39.83 hours per week) with the contract to be filled for a fixed term until 31.12.2025 with the option to extend. The salary will be based on remuneration group 13 TV-L of the pay scale for the German public sector, provided the applicant meets the relevant wage requirements and personal qualifications. The University of Cologne is committed to equal opportunities and diversity, encouraging applications from women and individuals with disabilities.
