Postdoctoral Research Assistant in Optimisation and Control
University of Oxford
Department of Engineering Science, Parks Road, Oxford, United Kingdom
General Description
The University of Oxford invites applications for a Postdoctoral Research Assistant in Optimisation and Control within the Department of Engineering Science at the central Oxford campus. The successful candidate will join the research group led by Dr Jack Umenberger and contribute to advanced research in optimisation and control methods relevant to modern energy systems.
This full-time research position is funded by UK Research and Innovation (UKRI) and is offered on a fixed-term basis for 35 months. The project focuses on real-time balancing of energy within electricity grids, a challenge that is critical to ensuring grid stability in the context of increasing renewable energy penetration.
The research programme has two primary objectives. The first objective is to accelerate the solution of large mixed-integer optimisation problems that are central to balancing energy supply and demand across the electricity grid. The second objective is to develop methods capable of systematically addressing the increasing levels of uncertainty introduced by high levels of renewable generation. The work will involve developing theoretical and computational approaches that improve efficiency, robustness, and scalability of optimisation and control techniques for power system operations.
The successful candidate will work within a vibrant research environment in the Department of Engineering Science and collaborate closely with researchers working on optimisation, control theory, and energy systems. The role will involve contributing to the design and development of new algorithms and methods, conducting rigorous analysis, publishing research outcomes in leading academic venues, and participating in the broader research activities of the department.
The Department of Engineering Science is a leading centre for interdisciplinary engineering research and maintains strong links with industry and international research collaborators. The department also holds an Athena Swan Bronze Award, reflecting its commitment to advancing equality and diversity in science, engineering, and technology.
Applicants will be required to submit an online application including a covering letter or supporting statement outlining how their experience aligns with the requirements of the role, a curriculum vitae, and the details of two referees.
Eligibility Criteria
A PhD or DPhil in engineering, mathematics, control theory, optimisation, or a closely related discipline, or candidates close to completion of their doctoral degree
Strong academic background with a good first degree in a relevant field such as engineering, mathematics, or a related discipline
Demonstrated research capability in optimisation, control, or related mathematical and computational methods
Ability to conduct independent research while contributing effectively within a collaborative research environment
Required Expertise/Skills
Strong background in optimisation methods and control theory
Experience with large-scale optimisation problems, particularly mixed-integer optimisation
Knowledge of mathematical modelling and algorithm development
Ability to analyse complex dynamic systems and uncertainty in engineering applications
Strong programming and computational research skills
Ability to communicate research outcomes effectively through academic publications and presentations
Strong organisational and collaboration skills suitable for interdisciplinary research environments
Salary Details
£39,424 – £47,779 per annum (Research Grade 7), inclusive of Oxford University Weighting
Application Deadline
03 April 2026 (12:00 noon)