Two postdoctoral fellows within metaomic analysis of microbial communities


The vacant positions are funded by Novo Nordisk Fonden (NNF) and the Research Council of Norway (RCN), and are part of a collaboration between several research groups at the Faculty of Biosciences (BIOVIT) and Faculty of Chemistry, Biotechnology and Food  Sciences (KBM), mainly the Microbial Ecology and Meta-Omics (MEMO), Protein Engineering and Proteomics (PEP) and Bioprocess Technology and Biorefining (BioRef). We will hire one person for 2 years, and one person for 3 years on the following projects: 

  • SuPA[cow]: Sustainable production of animals by optimizing the feed-microbiome-host axis.
  • Trained immunity and nutritional programming for resilient salmon (RCN)
  •  DIGI:  Digitalization in operation, monitoring and control of large-scale biogas plants (RCN)

These projects will examine the interplay between host-associated microbiome function and host phenotype. They will go beyond standard omic-style analyses and integrate metadata, metagenomic and metaproteomic layers in one collective analytical effort, and will additionally endeavor to include all keystone microbial genomes from bacterial, archaeal, viral and eukaryotic (fungi and protozoa) origins. Joint network analysis of expression data from both active gut microbiota and host tissue will attempt to identify key correlations between particular microbial populations and host metabolism, in particular for animals that exhibit varying performance metrics and methane levels. Taken together, it aims to integrate meta-data and multi-omics to describe the interplay between feed, host animal and its associated microbiota. For the DIGI-project, microbial dynamics in a commercial biogas plant will be investigated and possible links to process performance identified.

Main tasks

  • Generation of metagenomic datasets and population genomes that are representative of host-associated microbiomes.
  • Functional meta-omic characterisation of microbiota using metabolic reconstruction and quantitative metaproteomics. 
  • Identification of key metabolic pathways using regulatory network analysis of meta-omic data generated from microbiome(s) as well as host tissues and/or metadata.
Biovit _genlab_pipetteringsroboter

Academic Qualifications and desired experiences

  • The main purpose of the post-doctoral position is to qualify for work in high-level scientific positions. A PhD degree in microbiology/bioinformatics is required.

Required Academic qualifications

  • PhD degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis.

Required Experiences

  • Methods for microbial community DNA extraction, shotgun metagenomic sequencing, assembly and binning.
  • Methods for microbial community protein extraction, protein purification and metaproteomic data generation.
  • Bioinformatic analysis of DNA and peptide data, ability to process large meta-omic datasets.
  • Fluent programming skills in at least one language.

Desired experiences

  • Molecular laboratory and/or animal experimental work
  • Single-cell sorting/sequencing

We expect that the candidates will successfully publish research findings in high-impact peer reviewed journals.  Applicants must be proficient both written and spoken, in English, and preferably in a Scandinavian language.

Remuneration and information

The position is placed in government pay scale position code 1352 Postdoctoral Fellow, wage framework 24 (salary grade 59-77) (NOK 523.200-741.300), depending on qualifications. Seniority Promotion in position.

For further information, please contact:

Assoc. Prof. Phil B. Pope (; +47 67232540)

or Prof Svein J. Horn (; +47 67232488) 

General Information to applicants


To apply online for this vacancy, please click on the ‘Apply for this job’ button above. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Application deadline: (May 15 2020)

Up to ten publications selected by the applicant as most relevant must be attached to the application. If it is difficult to identify the contribution of the applicant in multiple-author publications, a short explanation about the applicant’s part of the work is suggested.

Printed material which cannot be sent electronically should be sent by surface mail to Norwegian University of Life Sciences, Faculty of Biosciences, P.O. Box 5003, NO-1432 Ås, within (May 15 2020). Please quote reference number 20/01442

Applicants invited for an interview will be asked to present verified copies of diplomas and certificates.

Apply for this job