Ca’ Foscari PhD Fellowship at University of Venice in Italy, 2018

The Department of Environmental Sciences, Informatics and Statistics at Università Ca’ Foscari Venezia is announcing postdoc fellowship on: “Modelling a trout farm using dynamic models and data assimilation methodologies”.

The main goal of the research is the identification, calibration and assessment of the performance of a dynamic model of a typical Italian trout farm.

Course Level: Fellowship is available to study Postdoctoral degree programme.

Eligible Countries: This fellowship is available to international students.
Eligibility Criteria: Applicants must meet the following criteria:

Prospective candidates are expected to hold a master’s degree in Computer Science, Environmental Science, Environmental Engineering, Mathematics, Physics, Statistics or related disciplines.

Ca’ Foscari encourages applications from researchers with positive evaluation in all the criteria in individual proposals such as Marie Sk?odowska Curie Actions – Individual Fellowships/ERC Starting Grants/FIRB (Italian Fund for basic research investments)/SIR (Scientific Young Independence Research) or similar. Researchers having successfully completed by 30/04/2018 Marie Sk?odowska Curie Actions – Individual Fellowships/ERC Starting Grants/FIRB (Italian Fund for basic research investments)/SIR (Scientific Young Independence Research) or similar funded projects are warmly encouraged to apply.

Method of Application: Candidates should submit:

The application form;
A CV in European format, duly dated and signed;
A copy of a valid identity document (either Identity Card or Passport);
(If available) Evaluation Summary Reports of Marie Sk?odowska Curie Actions – Individual Fellowships/ ERC Starting Grants/FIRB (Italian Fund for basic research investments)/SIR (Scientific Young Independence Research) individual proposals having passed all the evaluation thresholds;
(If available) Details of Marie Sk?odowska Curie Actions – Individual Fellowships, ERC Starting Grants, FIRB (Italian Fund for basic research investments)/ SIR Scientific Young Independence Research funded projects;
All documents, qualifications and publications relevant for the selection procedure.