PhD Research Fellow in Population Genomics
Explore the genetic signatures of killer whale population expansion during the Pleistocene–Holocene transition.
Best for:Best for candidates with a strong background in population genomics, evolutionary biology, or related fields, interested in applying genomic techniques to understand historical population dynamics.
Overview
This four-year PhD position at the Natural History Museum (NHM), University of Oslo, focuses on reconstructing the colonisation of high-latitude regions by North Atlantic killer whales. The project investigates how populations responded to past climatic changes, using genomic data to analyse genetic diversity and variation distribution. The fellowship includes 25% career-enhancing activities such as curation, teaching, and public outreach. Supervised by Dr. Andrew Foote, the research aims to uncover insights into demographic changes and evolutionary processes during the Pleistocene–Holocene transition.
What you'll do
- Conduct genomic analyses to reconstruct the colonisation patterns of North Atlantic killer whales during the Pleistocene–Holocene transition.
- Investigate genetic signatures of population expansion and demographic changes using genomic data.
- Analyse genetic diversity and variation distribution across populations.
- Participate in 25% career-enhancing activities, including curation, teaching, supervision, research support, and public outreach.
- Collaborate with the research team to interpret and present findings in academic publications and conferences.
- Engage in data management, statistical analysis, and bioinformatics techniques relevant to population genomics.
Requirements
Degree required: Master's degree in Biological Sciences, Genetics, Genomics, Evolutionary Biology, or a related field.
Degree offered: PhD
Language: English; proficiency sufficient for academic research and communication
Instruction: English
- Strong background in population genomics or related fields.
- Experience with genomic data analysis and bioinformatics tools.
- Proficiency in statistical analysis and computational techniques.
- Ability to conduct fieldwork or collaborate with researchers in biological sciences.
- No specific nationality restrictions mentioned.
- No prior experience caps or residency requirements mentioned.
Funding & terms
How to apply
Deadline: 2026-10-14 (Europe/Oslo)
Applicants must submit their application through the official University of Oslo job portal. The application should include a CV, cover letter, and relevant academic transcripts. Additional documents may be requested depending on the application.
- Curriculum Vitae (CV)
- Cover letter
- Academic transcripts
- Letters of recommendation (if required)
Contact
Andrew Foote / Hans de Boer· Supervisors
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