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  Prof D Borchers  Applications accepted all year round  Competition Funded PhD Project (Students Worldwide)

About the Project

Ecological surveys are the foundation on which evidence-based conservation of the planet’s biodiversity and wildlife resources is built. Wildlife surveys that provide the evidence base have traditionally been conducted by humans and the resulting data treated as “snapshots” in time. However, digital survey devices like camera traps, acoustic arrays or aerial video platforms generate streams of data, not snapshots. These data are more appropriately viewed as time-to-event data, with the events being detections of the species of interest. Using the event times has the potential to yield richer inferences about the populations under study than snapshot data can, but not much work has been done in this area. If you are interested in developing and applying new statistical methods to exploit the power of digital survey devices, this may be the PhD for you. Specific applications include camera trap surveys, acoustic surveys of vocalizing animals, drone-borne aerial surveys, walked transect surveys, and many others.

The student on this project would be part of the Centre for Research into Ecological and Environmental Modelling and Division of Statistics.

For more information about applying, funding, etc, please see the School's Postgraduate Research web page, and in particular the information about Statistics PhD opportunities. 


Funding Notes

Full funding (fees, plus stipend of approx. £17,668) is available for well-qualified students; we encourage applications as soon as possible to maximize your chances of being funded. UK, EU and other overseas students are all encouraged to apply. New PhD students would typically start in September 2023, but this is flexible. In particular, for projects in Statistical Ecology, we are looking for students who could start either in January or May 2023.
More information is available School's Postgraduate Research web page - please see the link under "About this project".

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