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Interested in joining the SEaDAL team? Available positions are listed below.
MSc Opportunity
in Statistics:
We are recruiting 1 MSc student in Statistics at Dalhousie University to start January 1, 2024, or May 1, 2024. The studentship is full-time, based on campus at Dalhousie University. Many regions in Nova Scotia suffer from coastal flooding, a scenario predicted to occur more frequently by recent climate change projections. These extreme events are difficult to model as they are infrequent but have far-reaching and severe societal and economic consequences. It is therefore essential to model these events to gain a better understanding of their occurrence, potential magnitude, and societal impact. In this work, a spatial model will be developed for water levels around the coast of Nova Scotia. The results of this work will be used by the other members of the collaborative team and our municipal partner.
PhD Opportunity:
There is great interest in understanding the spatial distribution and temporal dynamics of marine animal populations, to support conservation efforts & inform fisheries management. This poses a difficult challenge because many key variables are not directly observable in the ocean, e.g., animals can typically only be seen when they come to the
surface, and the underwater physical landscape is largely unknown. Nonetheless, recent technological advances have led to the collection of new data sets, including telemetry
devices attached to individual animals to record their movements, fishing surveys, and fine scale seafloor maps. This project will focus on developing new statistical methods for the integration of several types of spatiotemporal data, to advance our understanding of the links between individual animals’ behavior and their long-term population dynamics and
distribution. The project is flexible, and the student can choose to work on other questions that are relevant to improving analytical methods for spatiotemporal ecological data.
Positions
