Vacancies
A full and update list of vacancies
Academic postions
No current oppertunities
Postdoctoral postions
Research Associate - Applied Mathematics
To make a leading contribution to STFC-funded project “Hybrid dynamo models of magnetic cycles in the solar convection zone” working with Professor Radostin Simitev (Principal Investigator), Dr David MacTaggart (Co-Investigator) and in collaboration with international partners at the New Jersey Institute of Technology, USA (Prof A Kosovichev), Aalto University, Finland (Prof M Korpi-Lagg) and Stanford University, USA (Prof T. Hoeksema, coffies.stanford.edu). The main goal of the project is to introduce certain kinematic elements into state-of-the-art global convection-driven dynamo models in order to capture observed features of the solar differential rotation, large scale-flows and magnetic cycles in supercomputer simulations. In collaboration with the team, the successful applicant will be looking to address exciting open questions about the structure and maintenance of the solar rotation profile, the morphology of the cyclic magnetic field in the solar interior and the physical processes involved in their generation. The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals, participate in public outreach activities, undertake visits to the international project partners, as well as help manage and direct this complex and challenging project as opportunities allow.
For informal enquiries, please, contact Prof Radostin Simitev
Closing date: 31st January 2024
To apply please follow this link: Research Associate - Applied Mathematics
Research Associate - Applied Mathematics
To make a leading contribution to STFC-funded project “The force hierarchy in planetary dynamo models”, working with Dr Rob Teed and collaborators. The project aims to use magnetoconvection and dynamo simulations, combined with novel methods, to study the hierarchy of forces in models appropriate for planetary cores and atmospheres. Force balances control many aspects of the fluid dynamics, and hence the dynamo process itself. In collaboration with Dr Teed, the successful applicant will identify force balances in different dynamical regimes and study their effect on model properties such as the size of flow structure, the buoyancy flux, and zonal flows. The work will rely heavily on the use and adaptation of existing computer codes. As such, applicants are expected to have research experience in the computational modelling of a problem related to convection, dynamos, or magnetohydrodynamics. The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct this complex and challenging project as opportunities allow.
For informal enquiries, please, contact Dr Rob Teed
Closing date: 31st January 2024
To apply please follow this link: Research Associate - Applied Mathematics
Professional, Administrative and Support opportunities
No current oppertunities
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.