Capturing signals in biodiversity data across scales in space and time

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Trinity College Dublin
Study Options
Full Time

Project description:

Real time data can be challenging to analyse and interpret as it can be highly variable (noisy), multivariate, zero-inflated and complex in structures over space and time. We are searching for an excellent PhD candidate that will develop statistical models to analyse the big data that arises from real-time biodiversity monitoring. Applying the newly developed models will facilitate the detection of any underlying and biologically meaningful biodiversity patterns and signals in the data across multiple scales. In a truly multidisciplinary and circular approach, the knowledge gained from these statistical analyses will help to iteratively refine and improve our biodiversity monitoring processes.


An undergraduate (upper second class or higher) or master’s degree in Statistics, Mathematics or similar quantitative field is required. Experience or interest in addressing environmental challenges is desirable. This project is part of a highly interdisciplinary team, and so excellent team working and communication skills are required.

To apply for this position: please email a cover letter, CV and transcripts to

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