Postdoc: Genome-Informed Microbial Modeling of Soil Carbon

University of Copenhagen; København; On-site; DKK 360,000 - 480,000; Full time

Benefits offered by this job

State-of-the-art facilities

Access to supercomputing facilities

Job summary

University of Copenhagen seeks a postdoc to quantify microbial traits from metagenomes and develop a microbial-explcit version of the dynamic vegetation model LPJ-GUESS. You will work within the VOLT Center with ecologists, biogeochemists and ecosystem modelers.

The candidate should have a PhD in computational biology or related fields, with strong background in environmental microbial ecology, bioinformatics, statistics and programming in R/Python.

Qualifications

• PhD in computational biology, environmental sciences or related fields.
• Strong background in environmental microbial ecology and bioinformatics.
• Experience in advanced statistical analyses and programming with R, Python or similar.
• Fluency in written and spoken English and excellent writing skills.

Responsibilities

• Quantify microbial traits from metagenomes to inform microbial trait-based models.
• Use computational structural biology tools to infer protein function.
• Work with LPJ-GUESS to implement microbial decomposition of soil organic matter.
• Collaborate with team of ecologists, biogeochemists and modelers.

Skills

R programming

Python

Statistical analyses

Team collaboration

Education

PhD in computational biology or related

Tools

LPJ-GUESS

Job description

University of Copenhagen seeks a postdoc to quantify microbial traits from metagenomes and develop a microbial-explcit version of the dynamic vegetation model LPJ-GUESS. You will work within the VOLT Center with ecologists, biogeochemists and ecosystem modelers.

The candidate should have a PhD in computational biology or related fields, with strong background in environmental microbial ecology, bioinformatics, statistics and programming in R/Python.