The Fisheries Science and Management Research Group in the Graduate School of Resource and Environmental Management (REM) at Simon Fraser University has multiple Masters- and Ph.D-level assistantships available for highly motivated students interested in improving the understanding and management of aquatic systems through research on marine and freshwater systems, including fishes, marine mammals, invertebrates, and their habitats. Located just outside Vancouver, British Columbia, Canada, our interdisciplinary program enables students to develop expertise in applied fisheries science and management along with related areas such as resource economics, simulation modeling and statistics, risk assessment and decision analysis, ecotoxicology, conflict resolution, environmental law, and policy analysis.
Graduate research projects in fisheries science and management span a wide range of topics including population dynamics, environmental causes of variation in survival and growth rates, habitat and resource selection modeling, dynamic response of commercial fishing fleets and recreational anglers, direct and indirect ecosystem effects of fishing, development of new stock assessment and management simulation methods, evaluation and design of management and conservation strategies, and the development of innovative monitoring programs in the context of climate change. Research may involve field, laboratory, and/or computer simulation modeling. Along with state-of-the-art computing facilities, REM also has a new $1 million remote sensing laboratory, which includes fisheries wet/dry labs, a 9-metre dedicated research vessel, a submersible/ROV rated to 2000 ft (600 m), scientific-grade electronics, sonic fish tracking equipment, and survey fishing gear.
Interested students should visit our web page (http://www.rem.sfu.ca/fishgrp/), download our pamphlet (http://www.rem.sfu.ca/fishgrp/FisheriesFlyerWeb.pdf) or contact:
Dr. Randall Peterman ([log in to unmask])
Dr. Andy Cooper ([log in to unmask])
Dr. Sean Cox ([log in to unmask])
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