Arbetsbeskrivning

The Swedish Museum of Natural History is a government agency with a mandate to promote knowledge, research and interest in our world. It is a prominent research institution and Sweden's largest museum. For more than 200 years, the museum has been collecting specimens and data and conducting research on life on earth. The collections contain more than 11 million plants, animals, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. The Department of Population analysis and monitoring at the Swedish Museum of Natural History is seeking a motivated PhD candidate for a four-year position focusing on studying the responses of marine species to past and future sea warming. The PhD student will be supervised by Dr. Nicolas Dussex and co-supervised by Dr. Mafalda Ferreira at the Department of Zoology (SU). WORK TASKS Using published and newly-generated modern and historical genomes as well as modelling and simulation approaches, the project will aim at examining the past and future demographic and genomic responses of marine species to climate change. Specific aims include: • Performing comparative demographic analyses (e.g. PSMC) for marine invertebrate, fish, bird and mammal species using published data. • Perform temporal population genomics analyses for a subset of candidate species and determine the drivers of genomic variation over the past 200 years • Predict the distributional, demographic and genomic responses of those candidate species under future climate change scenarios. The project integrates historical DNA laboratory work (sample preparation and sequencing) with bioinformatics, computational genomics, and modelling approaches (Species Distribution Modelling, genome informed simulations), providing training across both wet and dry lab research. QUALIFICATIONS To be eligible, applicants must have: • A Masters degree in biology, bioinformatics, genetics, or a related field. • Demonstrated skills in molecular biology and/or DNA laboratory work. • Documented experience in computational genomics, including analysis of whole-genome sequencing data. • Strong written and spoken English skills.                                                                                                                                               The following qualifications will be considered advantageous: • Experience with molecular and computational tools to analyse historical/ancient DNA • Familiarity with demographic reconstructions (e.g. PSMC)  • Research experience related to population genomics, evolutionary genomics or genetic indicators (e.g. inbreeding, effective population size) • Proficiency in bioinformatics tools, bash command-line scripting, and programming in Python and/or R. • Experience working with high-performance computing (HPC) clusters. • Experience with Species Distribution Modeling (SDM) and/or genome-informed simulations (SLiM) We seek a candidate who is analytical, motivated, and able to work both independently and collaboratively. OTHER We advance our knowledge of the natural world, inspiring better care of our planet. Our ambition is that the employees of the Swedish Museum of Natural History shall represent the diversity of Sweden, and we welcome applicants from all backgrounds. We have made decisions regarding marketing channels and therefore decline contact with recruitment agencies and advertising sellers.