The Power and Energy Division of the Department of Electrical and Electronic Engineering of The University of Manchester, Manchester, UK is looking for a Research Associate to work on two research projects: 1) the EPSRC-funded Supergen Energy Networks Hub (https://www.ncl.ac.uk/supergenenhub/) and 2) the UK-China Multi-energy Control of Cyber-Physical Urban Energy Systems (MC2), https://www.mc2project.org/, which is funded under NSFC-EPSRC Collaborative Research Initiative in Sustainable Power Supply.
Both projects will provide leadership, research and networking (within UK and overseas), for the energy networks and systems community to grow and come together to develop a deeper understanding of the interconnected and interdependent energy network infrastructure, e.g. electricity, heat, gas, hydrogen, as well as of the urban energy systems. The two projects will combine research strengths of the leading institutions in the UK and China to respond to the energy trilemma (energy security, environmental impact and social cost) complex interconnected challenges and develop novel methods for sustainable energy networks and urbans energy systems.
Within these projects, the particular focus of the Research Associate positions will be on the development, implementation and testing of data-driven learning-based distributed control algorithms for the optimal coordination of available energy resources and network infrastructure and thus support and improve the operation of the energy networks and the performance and the sustainability of the urban energy system. The control algorithms will be design to use data and the situational awareness tools developed in the projects. Learning-based techniques (e.g., deep neural networks) will be used to learn automatically the system dynamics and the modelling errors, as well as to obtain an automatic tuning of the cost parameters/constraints or approximators of the control law. This will alleviate the modelling complexities and the online computational requirements of the control algorithms and provide them with learning, self-regulating and adaptive capabilities.
Please note this post will also require UK travel to collaborating universities, as well as opportunities to present research at leading international conferences, as well as the ability to interact effectively with researchers from other disciplines and industrial partners.
The School of is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. We particularly welcome applications from women for this post. All appointment will be made on merit.
Blended working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Dr Alessandra Parisio
Email: alessandra.parisio@manchester.ac.uk
General enquiries:
Email: hrservices@manchester.ac.uk
Technical support:
Email: https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
