Job Description.Pdf
Job Description Job Title: Research Associate in Applied Mathematics (Optimisation/Control/SciML) Department/Division/Faculty: Applied Mathematics and Mathematical Physics Section, Department of Mathematics, Faculty of Natural Sciences Campus location: South Kensington Campus Job Family/Level: Researc h Family , Research Associate Responsible to: Dr Dante Kalise Balza Key Working Relationships Members of Applied Mathematics Section (internal): Contract type: Full-time, Fixed term for 36 months Purpose of the Post The position is funded by the Engineering and Physical Sciences Research Council through the project Elastic Manufacturing Systems - A Platform for Dynamic, Resilient, and Cost-effective Manufacturing Services (EP/T024429/1). The project aims at challenging traditional manufacturing systems science and to allow future manufacturing operations to be delivered as a service based on dynamic resource requirements and provision, thus opening manufacturing to entirely different business and cost models. The project team, including researchers at University of Nottingham, University of Cambridge, and Imperial College, as well as industrial partners, addresses this challenge from different theoretical and applied perspectives. In particular, the successful candidate will work on developing an applied mathematics methodology incorporating elements of computational optimisation, control theory, and scientific machine learning. The Research Associate is expected to play a crucial role in the accomplishment of the following objectives: • Establishing a mathematical formalism for elastic manufacturing systems, guided by concepts from operations research and hybrid systems control. • The development of a computational optimisation methodology based on multilevel optimisation and dynamic programming. • Risk and reward modelling, optimisation, and assessment of autonomous elastic services. • Testing and validation in data-driven scenarios. • Public engagement, and dissemination of results.
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