The Department of Aquatic Resources of the Swedish University of Agricultural Sciences is looking for a PhD-student to investigate the temporal and spatial dynamics of cod, herring and sprat populations in the Baltic Sea within a multi-species modeling framework.
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Ecosystem modeling in the Baltic Sea
1 PhD student in the research education subject: Biology with orientation Ecology
The Department of Aquatic Resources of the Swedish University of Agricultural Sciences is looking for a PhD-student to investigate the temporal and spatial dynamics of cod, herring and sprat populations in the Baltic Sea within a multi-species modeling framework. Despite the large number of studies on trophic relationships between cod, herring and sprat, to date there is very little understanding on how predator-prey interactions among these species are shaped by their temporal and spatial variability in the Baltic Sea.
The PhD project aims to implement multi-species and multi-area models to account in a realistic manner for dynamic trophic interactions of cod, herring and sprat within and across different sub-basins in the Baltic Sea. The objectives of the project are (i) to characterize and model the trophodynamics of these three key species (ii) to evaluate the trade-off in the role of herring and sprat as a source of food for cod and as a resource for pelagic fisheries, (iii) to explore the direct and ecosystem-mediated implications of alternative management strategies and quantify their related uncertainties.
The modeling framework will also be used to inform a Decision Support Framework (DSF). The PhD project will be part of the FP7 project MareFrame, “Co-creating Ecosystem-based Fisheries Management Solutions”, which includes a large network of expertise from statistical, ecological and social sciences for the benefit of the student. The position is full-time and covers 48 months and the holder of the position is expected to achieve a PhD-degree. The student will work in the research group for marine population and ecosystem analyses at SLU in Lysekil, Sweden. The research group in Lysekil has an international profile when it comes to research and fisheries assessment.
The candidate should have a MSc degree or equivalent in Biology/Ecology/Environmental Sciences with proven quantitative skills, or in Statistics/Mathematics with strong interest for ecological applications. Documented skills with ecosystem,or population modeling handling large datasets is preferred. We are seeking a highly motivated and dedicated student. The candidate should have good communication skills, a strong work ethic, and be a good team player. The selection will be based on written application, CV, diploma/exam work, personal references, and an interview.