Postdoc­toral Po­s­i­tion Ge­netic Mixed Stock as­sess­ment in Sal­mon

Updated: 28 days ago
Deadline: 03 Dec 2019

A post-doctoral position is available in Craig Primmer’s research group at the University of Helsinki (http://www.helsinki.fi/evolution-conservation-and-genomics ) in close collaboration with the Tana salmon management group (luke.fi/tana_research_group). The position is available from 15.1.2020 initially for one year, but future extensions are possible depending on continuation of funding for the GSI work (which is currently decided on an annual basis).

The aim of the project is to use Genetic Stock Identification to estimate annual catch rates for Atlantic salmon sub-populations in the large Tana river system of northern Finland and Norway. The results will be used to manage fishing in the system. The main duties of the position are to carry out genetic mixed-stock analysis of Tana salmon fishery samples, to provide reports to the management group in a timely manner as well as to update the genetic baseline and SNP panels used for the analyses. There is also the opportunity to lead the writing of scientific publications on the results and apply for funding for conducting other related conservation genetic projects.

Suitable candidates will have a strong background in population or conservation genetics (in any species). Demonstrated experience with both ‘wet lab’ population genetic techniques and downstream bioinformatic and population genetic data analysis is advantageous. The ability to communicate conservation genetic results to managers in an understandable manner is also required. The working language of both Primmer’s research group and Tana management group is English, but due to the nature of the management in question, an ability to communicate in Finnish and/or a Scandinavian language is advantageous.

The salary will be based on level 5 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance with the overall starting salary amounting to c. 3100-3600 EUR per month, depending on the previous relevant research experience of the candidate. There is a six-month trial period for the position.

Applications should include a (max. 1 page) letter of motivation, a CV, including contact details of at least two referees and publication list (preferably in a single pdf-file). To apply, please submit your application using the University of Helsinki electronic recruitment system by clicking on Apply for the position. Applicants who are employees of the University of Helsinki are requested to leave their application via the SAP HR portal. The deadline for applications is 3.12.2019.

Informal inquires should be addressed to Academy professor Craig Primmer (craig.primmer@helsinki.fi ).

In case you need technical support with the recruitment system, please contact recruitment(at)helsinki.fi.

Finland is a member of the EU, has high quality free schooling (also in English), very affordable childcare, generous family benefits and healthcare, and was recently ranked as the best country in the world for expat families and in the world’s top ten most livable cities. The University of Helsinki is a top 100 ranked university in most ranking lists, and is currently investing heavily in life sciences research (see https://www.helsinki.fi/en/helsinki-institute-of-life-science ).

Relevant publications:
Erkinaro, et al. (2019). Life history variation across four decades in a diverse population complex of Atlantic salmon in a large subarctic river. Can. J. Fish. Aquat. Sci. 76(1), 42–55.
Pritchard et al. (2018). Genomic signatures of fine-scale local selection in Atlantic salmon suggest involvement of sexual maturation, energy homeostasis and immune defence-related genes. Molecular Ecology, 27, 2560–2575.
Vähä et al. (2016). Genetic stock identification of Atlantic salmon and its evaluation in a large population complex. Can. J. Fish. Aquat. Sci. 12, 1–12.


Due date

03.12.2019 23:59 EET


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