Vacancies
All current opportunities can be found at the Jobs at UofG website.
Selected available roles
Annual Distinguished Visiting Professor in the Mathematical Sciences
Expressions of interest are invited from world-leading researchers in any area of the Mathematical Sciences and its Applications (including Pure and Applied Mathematics, and Statistics) for a three-month appointment to the University of Glasgow's flagship Annual Distinguished Visiting Professorship. A substantial honorarium will be provided to cover expenses and living costs for the duration of the appointment.
The aim of the Professorship is to explore collaborations with colleagues at the University of Glasgow and the wider UK community, and to conduct research and deliver a public lecture. The holder will be encouraged to provide informal mentoring to early-career researchers and provide masterclasses. The Distinguished Visiting Professor will have an international reputation, and a proven track record of world-class research.
The closing date for the 2026/27 professorship: 8th March 2026.
For further details, see https://www.jobs.gla.ac.uk/job/annual-distinguished-visiting-professorship-in-mathematical-sciences-5809120.
Funded Ph.D. opportunities
Statistical methodology for Assessing the impacts of offshore renewable developments on marine wildlife (PhD)
Supervisors: Janine Illian
Relevant research groups: Modelling in Space and Time, Bayesian Modelling and Inference, Computational Statistics, Environmental, Ecological Sciences and Sustainability
(jointly supervised by Esther Jones and Adam Butler, BIOSS)
Assessing the impacts of offshore renewable developments on marine wildlife is a critical component of the consenting process. A NERC-funded project, ECOWINGS, will provide a step-change in analysing predator-prey dynamics in the marine environment, collecting data across trophic levels against a backdrop of developing wind farms and climate change. Aerial survey and GPS data from multiple species of seabirds will be collected contemporaneously alongside prey data available over the whole water column from an automated surface vehicle and underwater drone.
These methods of data collection will generate 3D space and time profiles of predators and prey, creating a rich source of information and enormous potential for modelling and interrogation. The data present a unique opportunity for experimental design across a dynamic and changing marine ecosystem, which is heavily influenced by local and global anthropogenic activities. However, these data have complex intrinsic spatio-temporal properties, which are challenging to analyse. Significant statistical methods development could be achieved using this system as a case study, contributing to the scientific knowledge base not only in offshore renewables but more generally in the many circumstances where patchy ecological spatio-temporal data are available.
This PhD project will develop spatio-temporal modelling methodology that will allow user to anaylse these exciting - and complex - data sets and help inform our knowledge on the impact of off-shore renewable on wildlife.