We are seeking a highly-qualified candidate interested in pursuing an PhD in acoustic telemetry and population estimation in the Canadian Arctic, to complement our acoustic telemetry work monitoring environmental and climate change, and their associated impacts on Greenland Halibut fisheries. Based at the University of Windsor in Windsor, Ontario or at Dalhousie University in Halifax, Nova Scotia, this is an exciting opportunity to be at the forefront of sustainability research among emerging fisheries in Nunavut and to develop highly sought-after quantitative research skills.
Telemetry has become a powerful tool to monitor the movements and behaviour of species in their natural environment. Technological advances have led to an exponential increase in the scope of questions that can be addressed, placing telemetry on a frontier to radically alter approaches to global fisheries management. In the Arctic, Greenland halibut have become a primary fishery resource, with growth of the fishery expected in both coastal communities and in the offshore environment.
This project will use acoustic telemetry data from over 600 tagged halibut recorded at two Arctic coastal sites and in the offshore environment of Baffin Bay over multiple years. The project aims to integrate various data types to develop novel spatially and temporally explicit stock assessment models that will be generally applicable to fisheries. The project is currently monitoring fish movements at >1000m depth, providing exciting opportunities for field work and to develop improved fisheries tools for deep water fisheries that are typically complex to manage.
The ideal candidate will have an undergraduate background and MSc in Fisheries, Biology, Environmental Science, or a related discipline, preferably with experience in, or knowledge of, quantitative analysis, data wrangling, and research methods. Candidates should also have (i) the ability to work in an interdisciplinary environment; (ii) strong written and oral communication skills; (iii) database experience; and (iv) a desire to pursue quantitative conservation research. Most critically they will have a demonstrated ability to work as a constructive and positive member of a team.
Contact information: For more information or to express your interest please contact Professors Aaron MacNeil (email@example.com) or Nigel Hussey (firstname.lastname@example.org).
Application: To apply, please submit a CV (including undergraduate GPA) and a 2-3 page letter that outlines: your career goals and what you want to get out of a PhD program, previous research experience, and contact information for 3 references.
Applications will be reviewed until suitable candidates are found.