Description
Position Overview
We are seeking a statistical ecologist with experience of multi-variate time-series analysis, to work on a NERC-funded project Multigenerational Trophic Responses to Coupled Short- and Long-term Environmental Change for up to 6 months. Our project combines theoretical and empirical approaches to explore how a Host-Parasitoid system responds to short- and long-term changes in the environment, collaborating with Dr Steve Saits experimental PlodiaVenturia system at the University of Leeds and Prof Chenggui Yuan in the Dept of Mathematics at Swansea. The project will develop our understanding of how populations respond across multiple generations to qualitatively different forms of temperature change, in the presence and absence of natural enemies, to determine whether previous investigations of the impacts of climate change have excluded fundamental biological processes from their designs.
Work Environment
The work will be carried out with Prof Mike Fowler within the Dept of Biosciences at the Centre for Biomathematics at Swansea.
Responsibilities
- Analyzing simulated and corresponding experimental Host-Parasitoid time-series of environmental and population dynamics, to understand climate-responses of trophic interactions.
- Generating original ideas, contributing to research papers and conference presentations describing the results of the research.
- Interacting positively and professionally with project collaborators and elsewhere in the University and beyond as appropriate.
- Keeping informed of developments in the field in technical, specific, general terms, and their wider implications for discipline area and knowledge economy.
Qualifications
The successful candidate must have completed (or recently submitted) a PhD in Statistics, Biological Sciences, Mathematics, Physics or equivalent. They must demonstrate evidence of actively leading and collaborating in writing and publishing research papers for peer-reviewed journals.
Skills Required
They must also have demonstrable ability to conduct research in line with the objectives of the project including experience with common programming environments like R, MatLab, Mathematica etc.