Title: Environmental drivers of food web structure and energy flux in marine ecosystems
Funding: Successful candidates will be awarded living costs equal to a UKRI stipend (£15,009 for 2019/20 - 2020/21 is due to be announced). Non-UK EU-resident applicants would need to provide evidence of finances to cover increased International Fees in their application cover letter – this is approximately an extra £10,000pa.
Application deadline: 22 March 2020
Start date: October 2020
Duration: 3 years (full time)
Location: Colchester Campus
Based in: School of Life Sciences
Global environmental change is predicted to alter the structure and stability of marine ecosystems with major implications for the sustainability of commercial fisheries.
By quantifying changes in food web structure and energy flux to fish predators along large-scale environmental gradients, this PhD will aim to determine the major drivers of trophic complexity and biomass distributions in marine ecosystems.
The proposed network-based analyses and modelling approaches are at the cutting edge of current research and will offer exciting new insights into the fate of marine ecosystems in the face of global change. The study will also provide multiple measures of ecological stability to help highlight vulnerable species, which will ultimately enable more effective ecosystem-based advice.
Body mass data from planktonic, benthic, and fisheries surveys will be used to parameterise an Allometric Diet Breadth Model, which has been used to predict structural properties of food webs to a high degree of accuracy (Petchey et al. 2008).
Interaction strengths will be assigned to the resulting interaction matrices using fluxweb, a recently developed R package for estimating energy fluxes in food webs based on body mass data (Gauzens et al. 2018).
Model predictions of food web structure and energy flux will be validated using an extensive database of >500,000 fish stomachs covering the NE Atlantic. Environmental data, including temperature, salinity, and primary productivity, will be utilised to explain systematic changes in food web structure and energy flux in space and time.
The candidate will join the Ecology and Environmental Microbiology Group at the University of Essex and will also work with researchers at Cefas in Lowestoft.
The supervisory team will offer training in a broad skillset related to food web ecology, marine taxonomy, bioinformatics, ecological modelling, and science communication.
There will also be an opportunity to participate in collaborative fieldwork and receive training in the sampling methodologies and survey techniques used to collect the historical datasets available for the project.
This project has fully secured funding for 3 years and we are looking for the studentship to start in October 2020.
Successful candidates will be awarded living costs equal to a UKRI stipend Successful candidates will be awarded living costs equal to a UKRI stipend (£15,009 for 2019/20 - 2020/21 is due to be announced). Non-UK EU-resident applicants would need to provide evidence of finances to cover increased International Fees in their application cover letter – this is approximately an extra £10,000pa.
Co-supervisorSchool of Life Sciences, University of Essex
Co-supervisorSenior Marine Ecologist, Centre for Environment, Fisheries and Aquaculture Science (CEFAS)
Co-supervisorQuantitative Marine Ecologist, Centre for Environment, Fisheries and Aquaculture Science (CEFAS)
We are looking for a candidate who is enthusiastic about global change biology, marine biology, quantitative biology, and ecosystem ecology, with a degree in ecology, environmental sciences, or geography.
Please apply by submitting a CV, cover letter detailing why you are the best candidate for this position, and references to contact (not needed up front) to Dr Eoin O’Gorman (email@example.com) by 22nd March 2020.
Shortlisted applicants will be invited to interview at the University of Essex in April 2020.
If you have any queries about this studentship please email the lead supervisor, Dr Eoin O’Gorman (firstname.lastname@example.org).