Postdoctoral position in Population Genomics 2025-09-15 We are seeking a postdoc to become part of our research team. Research will be conducted at the Günther Lab within the Human Evolution Program within the Department of Organismal Biology (Evolutionary Biology Center, Uppsala University, Sweden). The Günther group is specifically studying the prehistory of humans in Europe and the genomic history of animal domestication while developing and improving population genomic and bioinformatic methods to analyze palaeogenomic data, funded by research grants from Formas, Vetenskapsrådet and Riksbankens Jubileumsfond. The Human Evolution program has extensive interests in population genetics and human evolution, providing numerous opportunities for collaboration with postdocs and PhD students working on related projects. The program is also part of the Center for the Human Past. Thee research environment is international, with English as the working language. For more information on the Human Evolution Program, visit: https://www.uu.se/en/department/organismal-biology/research/human-evolution and Torsten Günther's group, visit https://www.gunther-lab.org Duties The postdoc will analyze temporal genomic data from humans and livestock species, and develop bioinformatic methods to detect environmental adaptation. The methods will be tested using simulations of genomic data. The work consists of working in Uppsala University's computer cluster as well as programming and statistical analysis. Requirements PhD degree in population genomics, bioinformatics, applied statistics or a related area, or a foreign degree equivalent to a PhD degree in population genomics, bioinformatics, applied statistics or a related area. The degree needs to be obtained by the time of the decision of employment. Primarily, those who have graduated no more than three years ago are eligible. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. Good proficiency in English is a requirement, both in speech and writing. Previous experience with large-scale genetic data analysis is a requirement. Additional qualifications The ideal candidate is highly motivated with thorough education and strong interest in evolutionary and population genomics. The candidate should have a strong bioinformatics background, preferably with experience in ancient DNA or related fields. Experience in Machine Learning/AI, mathematical, computational and statistical training are also advantageous. About the employment The employment is a temporary position of two years according to central collective agreement. Full time position. Starting date December 1st, 2025 or as agreed. Placement: Uppsala For further information about the position, please contact: Torsten Günther, +46184712697, torsten.gunther@ebc.uu.se The application should include a CV and a letter describing the applicant and their qualifications, research interests, and publication list. Copies of relevant degrees, a copy of the applicant's doctoral thesis or a draft of this. We would like you to provide information for at least two references. Please submit your application by 21 October 2025, UFV-PA 2025/2792. Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden's most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ Link to official ad and application system: https://www.uu.se/en/about-uu/join-us/jobs-and-vacancies/job-details?query=856716 När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy Torsten Günther (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)