Postdoc of genome-informed microbial biogeochemical modeling

Department of Biology
Faculty of SCIENCE
University of Copenhagen
Soils store 2300 Pg of organic carbon – three times as much as in the atmosphere. Yet, the fate of these huge carbon stocks under global warming remains highly uncertain. Although microorganisms are key players in soil carbon decomposition, large-scale models ignore microbial processes due to difficulty of quantifying microbial traits that can inform models. To overcome this limitation, the aim of this position is to quantify microbial traits from metagenomes to develop a microbial-explicit version of the dynamic vegetation model LPJ-GUESS.

You will join a dynamic team at the Center of Excellence VOLT (Center for Volatile interactions, https://volt.ku.dk/) consisting of microbial ecologists, biogeochemists and ecosystem modelers. We offer a creative and stimulating working environment in a collaborative, international research group. We have state-of-the art laboratory facilities and bioninformatics pipelines for analyses of microbial communities and biogeochemical fluxes. Our team also comprises specialists in process-based ecosystem modeling with whom you will closely collaborate. We provide access to supercomputing facilities to carry out bioinformatics and modeling tasks.

You will work with microbial genomes and metagenomes to predict microbial traits relevant for carbon cycling and modeling using computational structural biology tools to infer protein function. These tasks will use public databases as well as environmental metagenomic datasets produced by the group. You will moreover work with the process-based ecosystem model LPJ-GUESS to implement microbial decomposition of soil organic matter.

We seek an ambitious and highly motivated candidate with a PhD in computational biology, environmental sciences or related fields. A successful candidate should have a strong background in environmental microbial ecology and bioinformatics as well as experience in advanced statistical analyses and programming with R, python or similar. Moreover, experience with process-based modeling is a plus. Fluency in written and spoken English is a requirement, as well as excellent writing skills demonstrated by the publication record. The candidate should be comfortable working in teams with a collaborative mindset.

Further information on the Department of Biology is linked at https://www1.bio.ku.dk/ and on the recruiting unit at https://volt.ku.dk/. Inquiries about the position can be made to Jonathan Donhauser, [email protected]

The position is open from 1/2/2027 or as soon as possible thereafter and is for 2 years.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

• Cover letter describing the motivation for the position
• Curriculum vitae (maximum 2 pages)
• Diplomas (Master and PhD degree or equivalent)
• Research plan – description of research plan (max. 3 pages)
• Complete publication list
• Separate reprints of 3 particularly relevant papers
• Contact details (name, address, telephone & email) of 2 professional referees

The deadline for applications is 15 November 2026, 23:59 CET.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Kontakt
Jonathan Donhauser
E-mail: [email protected]

Kontakt
Ana Raquel Andrade Veríssimo
E-mail: [email protected]

Info
Ansøgningsfrist: 15-11-2026

Ansættelsesdato: 01-02-2027

Arbejdstid: Fuldtid

Afdeling/Sted: Department of Biology