About the Project
Potential areas for investigation include:
• Robust stopover models for long-term mark-recapture data. The extension of these models to include biologically realistic behaviour (temporary migration, heterogeneous captures, individual covariates, environmental covariates). Robust estimation of recruitment probabilities and stopover duration on different temporal scales.
• Daily estimation of abundance and/or animal density. Modelling seasonal variation caused by, for example, lunar cycles, monsoon season, time-varying environmental conditions.
• Modelling animal movement and identifying habitual behaviour patterns. Investigating differences in behaviour for sharks of different ages or regions.
• The integration of different sampling methods including emerging technologies (drone surveys, sonar, eDNA). The inclusion of citizen science data.
• The potential extension of existing mark-recapture methods to a continuous-time framework.
Applicants should have a good first degree in mathematics, statistics or another discipline (e.g., biology, computer science), with substantial statistical component. A masters-level degree is an advantage.
Further details of the application procedure, including contact details for the Postgraduate Officer, are available at http://tinyurl.com/StAndStatsPhD
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