Sustainable forestry is a cornerstone in the transition to the post-carbon economy, where forests play a key role as a source of sustainable biomass. The growing demand for biomass is being challenged by the negative impact of climate change on forest productivity, which urges evaluating weather forests are capable of an adaptive response to the multiple biotic and abiotic stresses imposed by the climate change. The ability of forests to respond to climate change depends on the level of genetic diversity for which natural forests are reservoirs. These reservoirs carry genetic variants (alleles) that serve two very important purposes: adaptation and survival of natural forests and introgression of key alleles into managed forests to increase adaptation and productivity.
Your role will be to evaluate if the level of genetic diversity in natural and managed Scots pine forests is comparable, and if the capacity to adapt to climate warming remains intact and at similar levels in both natural and managed forests.
We are after highly motivated candidates with experience in population genetics and SNP-based genetic modelling (eg., GWAS). Candidates with additional education in statistical genetics are encouraged to apply. Experience with forest tree species is considered relevant but not essential. To qualify for the position, you should have a PhD degree in subjects relevant for the position, such as one in genetics or statistics. The PhD degree should not be more than 3 years old. Good English communication and writing skills are required.
Place of work: Umeå
Form of employment: Temporary scholarship for 2 years
Starting date: spring 2021