mercredi 31 mai 2017
Offre de thèse en écologie évolutive sur les épinoches en Irlande
Ph.D. opportunity in fish evolutionary ecology
Applications are invited for a motivated and enthusiastic PhD candidate, who will join the BEYOND 2020 multi-institute research cluster project (Burrishoole Ecosystem Observatory Network 2020). The Burrishoole research station (managed by the Marine Institute) is an international index site for diadromous fish, and a world leader in the use of in-situ automated monitoring systems to track changes in freshwater systems. The BEYOND 2020 research team builds on the existing biological and sensor monitoring programmes at the Burrishoole research station by using next generation science and technology to further inform species and ecosystem response to both natural and human mediated environmental change.
We seek a highly-motivated graduate who wants to gain a PhD in the area of evolutionary ecology and population biology with particular focus on the genetic architecture of phenotypic variation. The successful applicant will investigate genetic architecture of ecological divergence in three-spined sticklebacks in the Burrishoole system. This system comprises mountain and lowland streams and lakes, tidal lakes, estuaries and access into the ocean providing a unique opportunity to study evolutionary change, genetic architecture under different ecological pressures and investigate adaptive changes in response to climate change in complex environments. Following assessment of the biology and the ecology of the stickleback within several habitat types, the student will have the opportunity to apply quantitative methods to determine phenotypic divergence in a range of ecologically relevant traits (e.g. presence of armour plate, body morphology, behaviour, micro- and macro-parasite infection, feeding strategies, respiratory metabolism). The use of genomics, metagenomics and transcriptomic tools on wild-caught and experimental fish (in collaboration with research collaborators at Queen’s University Belfast and University of Glasgow), will allow genotype-phenotype mapping of phenotypes in complex and variable environments.
The position is based at the Marine Institute’s research facility in Newport Co. Mayo, Ireland. The student will be joining a multidisciplinary team of researchers and other Ph.D. students and will be will working closely with project collaborators in University College Cork, Queen’s University Belfast, University of Glasgow and the Marine Institute.
The position is funded for 3.5 years. Funding is through a Marine Institute project-based award (Marine Research Programme 2014-2020) and provides a 3.5-year stipend of €16,000 per annum plus fees (with possibility of an extension). The successful candidate will be registered as a full time research student in the School of Biological, Earth & Environmental Sciences at UCC (Cork), under the supervision of Drs Phil McGinnity and Joshka Kaufmann (UCC) and Prof. Paulo Prodöhl (QUB). The PhD degree will be awarded by University College Cork.
Applicants should have a First or Upper Second Class Honours BSc or MSc. in an appropriate discipline (e.g. Ecology, Evolution, Zoology, Biology, Genetics). A strong background and interest in quantitative genetics is essential, as well as a solid training in evolutionary, ecological and/or population genetics theory. Applicants must be self‐motivated with good communication, organisational and writing skills. Experience working with fish handling in field or aquaria settings would be advantageous but not essential; as would molecular laboratory skills. Experience in using R is a plus.
Informal Enquiries: Please contact Dr P. McGinnity (Email: firstname.lastname@example.org)
To apply please send by email a CV, details of 2 referees, and an accompanying letter of application outlining your relevant experience to Dr P. McGinnity, School of Biological, Earth & Environmental Sciences, University College Cork, Cork, Ireland. E‐mail email@example.com
Dates: Application deadline is 15 June 2017. Start date Summer 2017.
Catégories PhD à l'étranger