Two-year Postdoc in Bioinformatics and Genomic Epidemiology at Aarhus University
Two-year postdoctoral position at
Aarhus University
in
Bioinformatics and Genomic Epidemiology
, hosted by the
Department of Animal and Veterinary Sciences (ANIVET)
in the
Management and Modelling (MAMO)
research group.
The post is centered on
multiomics
,
bioinformatics
,
genomic epidemiology
,
microbiology
,
antimicrobial resistance (AMR)
,
metagenomics
,
data science
, and
animal health
. The successful candidate will work on EU Partnership Animal Health & Welfare projects, integrating epidemiological, clinical, molecular, genomic, and metagenomic data from farm and companion animals.
Research tasks include analysis of whole-genome and metagenomic datasets, pathogen surveillance, AMR gene identification, mobile genetic elements, genome-to-phenome analysis, and development of robust bioinformatics pipelines for phylogenomic and epidemio-genomic workflows. The role also includes use of
AI
,
machine learning
, and
deep learning
, plus implementation on HPC or cloud infrastructure.
Eligibility: applicants must hold a
PhD
in bioinformatics, genomic epidemiology, data science (AI/ML), or a related area with a focus on animal health, microbiology, disease control, or production traits. Strong experience with biostatistics, genomic and metagenomic sequence analysis, QA/QC tools, R, Python, UNIX, and Bash is expected. Experience with G2P or genomic epidemiology using ML/DL is an advantage.
The position is
full-time
,
fixed-term
, and expected to start on
1 October 2026
or shortly thereafter, running until
30 September 2028
. The application deadline is
28 June 2026
at 23:59 CEST.
Application materials must be submitted in English and include a CV, degree certificate, publication list, future research plan, research activity information, teaching portfolio, and verified teaching experience if any. The post also involves teaching contributions and supervision of MSc and PhD students.
Contacts for further information:
Professor Haja Kadarmideen
and
Professor Karl Pedersen
at Aarhus University.
