PhD student to the Department of Bioinformatics and Genetics
Using new samples as well as already generated high-coverage genomes, the project will develop and apply novel methods to detect structural variants in ancient DNA and explore their functional consequences. Specific aims include: • Developing computational methods for identifying structural variants from degraded ancient DNA data. • Building pangenome graphs to map structural variation across woolly mammoth and woolly rhino populations. • Investigating the potential role of structural variants in adaptation to the Arctic environment. • Assessing how genomic structural changes may have contributed to population decline and extinction. The project integrates ancient DNA laboratory work (sample preparation and sequencing) with bioinformatics and computational genomics, providing training across both wet and dry lab research.
Application deadline: 10 November 2025
Anställningstyp: Temporary employment
Postdoc in geology and geochemistry – Leaching behaviour of arsenic rocks
Applications are invited for a full-time three-year position as a postdoctoral researcher, responsible for carrying out the research project Geological basis for arsenic leaching from the Swedish Precambrian bedrock. Principal work tasks include participating in design and execution of leaching experiments, investigation and characterisation of rocks and minerals using optical, electron and Raman microscopy, and geochemical modelling. The successful candidate will also have the possibility to develop its own line of research. The project is fully funded by the Swedish Governmental Research Council for sustainable development, FORMAS. The position is for three years. A start date in January-May 2026 is anticipated. Salary will be in the range 34,000-40,000 SEK/month, subject to candidate qualifications and experience.
Application deadline: 11 November 2025
Anställningstyp: Temporary employment
Research Fellowship in Data driven evolution and biodiversity
At NRM, we are looking to fill the position as DDLS fellow in Data driven evolution and biodiversity. Data driven evolution and biodiversity concerns research that takes advantage of the massive data streams offered by techniques such as high-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. The applicant is expected to have a strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. More specifically, at NRM this research will be aimed at developing a deeper understanding of biodiversity and of ecosystem change, particularly through development or application of computational methods and artificial intelligence to analyse, large-scale datasets within biodiversity and evolution. Examples of such research include analyses within phylogenomics, metagenomics, image analysis and distributional data.
Application deadline: 15 November 2025
Anställningstyp: Permanent employment