We typically have a large back log of acoustic data, and are always interested in having people work with us. We are affiliated with the Department of Biology and the School of Earth and Ocean Sciences at the University of Victoria, and work quite closely with Dr. Francis Juanes (lab info here). We work with directed studies students, honours students, graduate students, and post doctoral fellows from U Vic. Please contact William Halliday (firstname.lastname@example.org) if you are interested in working with us.
Note that we don't necessarily have additional funds available to support any students or post docs right now, so interested candidates for graduate or post doctoral studies should have a funding source in mind.
Position Summary: We are seeking highly qualified candidates for a Post-Doctoral fellowship to work on a project focused on measuring underwater noise from vessel traffic in the Canadian Arctic. The Post-Doc would work closely with Dr. William Halliday and Dr. Stephen Insley with Wildlife Conservation Society (WCS) Canada (www.arcticnoise.ca) and Dr. Stan Dosso at the University of Victoria. This position would be based in the School of Earth and Ocean Sciences at the University of Victoria in Victoria, British Columbia, Canada.
This fellowship will focus on measuring vessel noise from a large collection of archived passive acoustic datasets from the Canadian Arctic, pairing the acoustic data with automatic identification system vessel tracking data, measuring received levels, estimating source levels, estimating propagation characteristics at different sites, and estimating zones of audibility for different species of marine mammals.
The position, pending successful funding, will start in January 2022, will be for a two-year term, and will be a fully funded fellowship through WCS Canada. This position will include health benefits.
The successful candidate must have a strong background in underwater acoustics, acoustic propagation, spatial analyses, and statistical analyses. The majority of time will be spent analyzing data. The successful candidate must hold a Ph.D. by the start date of this fellowship and should have a strong record of scholarly publications.