Objective
The training site offers fellowships for research within the field of plankton ecology and dynamics , with emphasis on the development of tools and methods to improve plankton measuring, monitoring, modeling and exploitation. European doctor students are hereby invited to join ongoing research on marine plankton in a multidisciplinary and internationalized research environment. The Plankton group has a unique expertise in a wide range of methods and techniques to study the functioning of marine planktonic ecosystems. This includes optical, bio-optical and acoustic methods for phyto- and zooplankton stock assessment and quality. The group also aims to improve existing 3-D plankton models. Research fellows will be given training in the use of the newly developed methods, instruments and techniques, in the interpretation of raw data and in the management of marine resources. Research supervision will be supplemented by adapted courses, seminars and group discussions. PlanktoSite is coordinated with the Trondheirn Marine Systems Research Infrastructure, which is a European dedicated Centre of Excellence within measuring, monitoring and modeling of marine systems. This will give the visiting doctor student a chance to access of a range of specialized experimental installations and unique natural environments alongside marine ecology experts and fellow students from different European research institutes. Activities are co-ordinated by research groups at the Norwegian University of Science and Technology (NTNU) and Foundation for Scientific and Industrial Research (SINTEF), covering both basic and applied aspects of plankton ecosystem dynamics. The research fellow should be motivated to work within an international and enthusiastic working environment, and should be specialized in sciences or engineering related to marine ecosystems. He/she should have a M.Sci. Degree or its equivalent in engineering. The applicant can visit PlanktoSite up to one academic year
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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