Uppsala University, Department of Ecology and Genetics

A position as a researcher in Evolutionary Genetics is available at the Department of Ecology and Genetics, program of Animal Ecology.

The Department of Ecology and Genetics is an international environment with staff and students from all over the world. Our research spans from evolutionary ecology and genetics to studies of ecosystems. For more information, see www.ieg.uu.se.

Read more about our benefits and what it is like to work at Uppsala University

Project description
Climate change is altering demography and distribution ranges of many species, leading to global reductions in biodiversity and severe socio-economic losses. While systematic experimental studies of evolution in real-time can provide key insights about long-term outcomes under climate change, such approaches have been underutilized in multicellular diploid species; arguably the taxa most threatened by climate change. Here we outline an empirical strategy to fill this knowledge-gap that takes advantage of a long-term laboratory evolution experiments in the beetle Callosobruchus maculatus. Our approach combines phenotypic assays with novel analyses of genome sequences from evolved populations and their ancestors. This will allow us to assess i) the role of founding genetic variation in shaping adaptation to climate change, and ii) the repeatability of thermal adaptation via specific genomic features, genetic pathways, and molecular functions. This research aims to provide key insights into the principles that govern climate change adaptation from standing genetic variation in multicellular diploid species. 

Duties
Curation and bioinformatic analysis of DNA “pool-seq” data and RNA transcriptomic data. Statistical analysis of phenotypic data from experimental evolution lines.

Qualifications required
A doctoral degree, or a foreign degree equivalent to a doctoral degree, in Evolutionary Genetics. Good knowledge of bioinformatic and statistical analyses applied to both genomic and phenotypic data. We attach great importance to personal qualities such as being able to work and collaborate in larger groups. Candidates must be able to express themselves fluidly in spoken as well as written English.

Qualifications desired
Good knowledge of evolutionary theory with particular emphasis on quantitative and population genetics. Practical skills in programming and analysis of large genomic datasets (bioinformatic analysis). Previous experience working with programming languages such as R, Perl, and/or Python. Previous experience working with experimental evolution. Previous studies of temperature adaptation and work with insects.

About the employment
The employment in a temporary position for 10 months. Scope of employment 100%. Starting date as soon as possible, as agreed. Placement: Uppsala

For further information about the position, please contact: Researcher David Berger, david.berger@ebc.uu.se, +46 18 471 26 34.

Application
The application should include 1) a letter of intent describing yourself, your research interests and why you want this position, 2) your CV, 3) a short description of your education, 4) a copy of your doctoral degree and course grades, 5) the names and contact information to at least two reference persons (e-mail address and phone no.), 6) a copy of your master thesis and 7) publications produced. The application should be written in English.

Please submit your application by 2 October 2023, UFV-PA 2023/3420.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.  

Type of employment Temporary position
Contract type Full time
First day of employment 2023-10-15 or as agreed
Salary Fixed salary
Number of positions 1
Full-time equivalent 100%
City Uppsala
County Uppsala län
Country Sweden
Reference number UFV-PA 2023/3420
Union representative
  • Seko Universitetsklubben, seko@uadm.uu.se
  • ST/TCO, tco@fackorg.uu.se
  • Saco-rådet, saco@uadm.uu.se
Published 15.Sep.2023
Last application date 02.Oct.2023 11:59 PM CEST

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