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University of Copenhagen
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2-Year Postdoctoral Position in Modeling of Microbial Soil Carbon Cycling University of Copenhagen in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral position with salary according to Danish academic agreements; salary supplement negotiation is possible.
Deadline
Nov 15, 2026
Country
Denmark
University
University of Copenhagen
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About this position
This postdoctoral project focuses on genome-informed microbial biogeochemical modeling to improve understanding of soil carbon cycling under global warming. The successful candidate will work on quantifying microbial traits from metagenomes and using these traits to develop a microbial-explicit version of the dynamic vegetation model LPJ-GUESS.
The post is hosted by the Department of Biology, Faculty of SCIENCE, University of Copenhagen, and is embedded in the Center of Excellence VOLT (Center for Volatile interactions). The team brings together microbial ecologists, biogeochemists, and ecosystem modelers in a collaborative, international research environment. The advert highlights state-of-the-art laboratory facilities, bioinformatics pipelines for microbial community and biogeochemical analyses, and access to supercomputing resources for computational work.
The appointed researcher will work with microbial genomes and metagenomes, using public databases and environmental metagenomic datasets generated by the group. A further part of the project is to infer microbial traits relevant for carbon cycling using computational structural biology tools for protein function prediction, and to implement microbial decomposition of soil organic matter within LPJ-GUESS. The position emphasizes close collaboration with specialists in process-based ecosystem modeling.
Inquiries may be directed to Jonathan Donhauser at the Department of Biology.
Funding details
Postdoctoral position with salary according to Danish academic agreements; salary supplement negotiation is possible.
What's required
A PhD in computational biology, environmental sciences, or a related field is required. The candidate should have a strong background in environmental microbial ecology and bioinformatics, experience with advanced statistical analyses, and programming skills in R, Python, or similar. Experience with process-based modeling is considered an advantage. Fluency in written and spoken English is required, along with excellent writing skills demonstrated by a publication record. The candidate should be able to work collaboratively in teams.
How to apply
Apply electronically via the APPLY NOW link. Submit a cover letter, CV, diplomas, a research plan, complete publication list, three relevant reprints, and contact details for two professional referees. The application must be in English and submitted by the deadline.
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