英国诺丁汉大学群体基因组学博士后
英国诺丁汉大学群体基因组学博士后
Reference
MED166620
Closing Date
Thursday, 9th July 2020
Job Type
Research
Department
Life Sciences
Salary
£30942 to £40322 per annum (pro-rata if applicable) depending on skills and experience. Salary progression beyond this scale is subject to performance.
Our projects employ large scale population genomics, but at the same time have explicitly phenotype-first orientations. In each case we aim to determine the genetic basis and evolutionary repeatability of adaptation to intense, quantifiable selection pressures, both environmental and intracellular. We do this by applying population genomics to wild plant populations that have evolved to overcome demonstrable hazards.
We currently focus on adaptation to genome duplication as well as adaptation to highly challenging, quantifiable environmental stressors in species ranging from Arabidopsis arenosa, to Chamerion angustifolium, to Mimulus guttatus and back throughout the Brassicaceae to A. lyrata and A. thaliana. We also work on polyploidy in frogs and fish. There is lots of awesome field work in the mountains and chances in interact with international collaborators too. See https: // www. yantlab.net/ for more.
The role:
Primary activities will include conducting large-scale population genomic projects. This includes exhaustive demographic and selection analyses of population genomic data. We require candidates who are not only motivated to run with these objectives, but who can also propose new creative project contributions. By the end of your postdoctoral term with us, we expect you to be able to, for example, begin your own group, bringing along your project from our work together. We also expect to engender the development of new directions as a result of discoveries in our group that can spur independent trajectories for your future research.
The ideal candidate:
Applicants passionate about evolutionary genetics or population genomics are encouraged to apply. The successful candidate will possess a PhD and a strong relevant publication history. They will also have good knowledge of population genetics and demonstrable use of computational methods in an evolutionary context. The ideal candidate will have initiative, analytical skills, and a drive to push forward on new problems in evolutionary genomics as part of a highly collaborative team.
Candidates must hold a PhD or equivalent in Genetics, Ecology, Evolution, Bioinformatics, or closely related area.
This full-time, fixed-term post is available immediately and will be offered until 30th June 2021. Job share arrangements may be considered.
Additional information:
To apply for this role please include a covering letter with your application explaining your specific motivations to join the Yant Lab, as well as some specific description of your use of computational genomic or population genetic methods. This is a required element of the application process.
Informal enquiries may be addressed levi.yant@nottingham.ac.uk. Please note that applications sent directly to this Email address will not be accepted.