University of Sherbrooke, Canada: funded PhD positions in water resources / remote sensing
We invite applications for several Ph.D. research assistantships available in the Department of Civil Engineering at University of Sherbrooke, Sherbrooke, Province of Quebec, Canada. We are interested in highly motivated students to work on projects devoted to hydrological forecasts and understanding watershed hydrological dynamics using remotely sensed imagery. The projects are funded by the Natural Science and Engineering Research Council of Canada (NSERC) and industrial partners through an industrial research Chair entitled «Valorisation of Earth's observations in Water Resources».
More specifically, the projects will be addressing the following issues: (1) develop novel approaches for retrieving surface soil moisture/snow from multi-sensor remotely sensed data with emphasis on microwave active/passive signal; (2) assimilation of remotely sensed and point soil moisture / snow pack data from multiple sensors in spatially distributed hydrological models to enhance flood forecasts; (3) developing approaches based on hydrometeorological indices for short/medium hydrological forecasts.
Applicants with interest in hydroclimatology, hydrological modelling and remote sensing and with demonstrated academic excellence at the Bachelor and Master's level are encouraged to apply. Experience in using distributed hydrological models, image analysis, machine learning methods (e.g. principal component analysis, artificial neural networks, decision trees) and knowledge of programming languages (Python, Matlab) is an asset. The assistantships include a 3-4 year stipend and travel to national/international conferences.
Positions are available immediately and in early 2018. Foreign PhD students pay tuition fees equivalent to those of Quebec students, which are the lowest in Canada. For more information, please contact Dr. Robert Leconte (Robert.Leconte@USherbrooke.ca).
Apply for University of Sherbrooke, Canada: funded PhD positions in water resources / remote sensing
Already uploaded your resume? Sign in to apply instantly