Uppsala University
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PhD in Evolutionary and Ecological Genetics Uppsala University in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
Temporary full-time PhD employment for 4 years, with possible extension for teaching up to 20% of full-time employment. Salary is set according to the established doctoral student salary scale. The position is at Uppsala University.
Deadline
Nov 1, 2026
Country
Sweden
University
Uppsala University

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About this position
Uppsala University is advertising a PhD student in Evolutionary and Ecological Genetics at the Department of Ecology and Genetics in Sweden. The project sits within the Animal Ecology research program and focuses on a major question in evolutionary biology: whether evolution is repeatable and whether the same genes contribute to repeated phenotypic adaptations.
The PhD project will use a large-scale Evolve-and-Resequence experiment in the seed beetle Callosobruchus maculatus to study local adaptation, determinism versus chance in evolution, and the genetic basis of ecological niche evolution. The work combines experimental biology and especially bioinformatic analysis, using extensive phenotypic, RNA-seq, and DNA pool-seq data, plus comparative genomics opportunities with additional beetle strains and related species.
Research infrastructure includes access to national supercomputing resources (NAISS), SciLifeLab sequencing and molecular platforms, a Climate Lab with controlled chambers and greenhouses, a molecular lab, and animal rearing facilities. The department is described as an international environment with strong links across biology departments at Uppsala University.
Eligibility highlights: a Master’s degree in Evolutionary Biology, Ecology, Bioinformatics, or a related field; or equivalent higher-education credits/experience. Applicants should have programming and scripting experience, a solid grasp of ecology and evolutionary biology/genetics, strong English skills, and the ability to work independently and collaboratively. Helpful extras include quantitative genetics/population genomics statistics, bioinformatic pipelines on servers/clusters, and experimental evolution experience.
Funding: full-time temporary PhD employment for 4 years, with possible extension for teaching duties up to 20% of full-time employment. Salary follows the doctoral student salary scale.
Application: submit a cover letter, CV, education summary, degree documents, transcripts, master’s thesis, references, and publications through Uppsala University’s recruitment system. Deadline: 1 November 2026.
Funding details
Temporary full-time PhD employment for 4 years, with possible extension for teaching up to 20% of full-time employment. Salary is set according to the established doctoral student salary scale. The position is at Uppsala University.
What's required
Applicants must meet doctoral entry requirements by holding a Master’s degree in Evolutionary Biology, Ecology, Bioinformatics, or a related field, or by having completed at least 240 higher-education credits with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or by having equivalent knowledge through extensive research experience. Candidates who expect to complete the degree before the start date may apply. The ideal applicant should understand key concepts in ecology and evolutionary biology/genetics, have experience with programming and scripting, be highly motivated and able to work independently and collaboratively, and have strong spoken and written English. Desirable skills include statistical analyses of quantitative genetic or population genomic data, bioinformatic pipelines on servers and clusters, and experimental evolution or genetic strain work.
How to apply
Prepare a cover letter, CV, brief education description, copies of degree and transcripts, master’s thesis, names and contact details of at least two references, and any publications. Submit the application through Uppsala University’s recruitment system before the deadline.
More information can be found here
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