Research Fellow In Smart Energy Systems And Control Engineering

JOB DESCRIPTION

Do you know how much energy is used in making a loaf of bread? Do you know how to make dumb machines smart to save energy in manufacturing? 

Joining an exciting consortium to address the technical, operational and economic challenges in optimal energy management in industry, you will be conducting research, innovation and associated activities in the area of advanced control techniques for energy saving as part of the EPSRC funded ‘OPTEMIN’ project. The work is based on an award-wining technology to offer low-cost component-level energy monitoring, providing insights that can lead to reduced energy costs and optimised manufacturing processes (http://www.pointenergy.org/)

Holding a PhD (or close to completion) in Electrical & Electronic Engineering, Control Engineering, or a closely allied discipline, you will have a strong background in advanced control and optimization with applications to manufacturing or other energy intensive processes.

To explore the post further or for any queries you may have, please contact: 

Kang Li, Professor of Smart Energy Systems

Email: K.Li1@leeds.ac.uk

Further information 

The Schools in the Faculty of Engineering & Physical Sciences are proud to have been awarded the Athena SWAN Bronze or Silver Award from the Equality Challenge Unit, the national body that promotes equality in the higher education sector. Our equality and inclusion webpage provides more information.

Location:  Leeds – Main Campus

Faculty/Service:  Faculty of Engineering & Physical Sciences

School/Institute:  School of Electronic & Electrical Engineering

Section:  Institute of Communications and Power Networks

Category:  Research

Grade:  Grade 7

Salary:  £33,797 to £40,322 p.a.

Working Time:  37.5 hours per week

Post Type:  Full Time

Contract Type:  Fixed Term (until 30 November 2020 (due to grant funding))

Release Date:  Friday 17 April 2020

Closing Date:  Friday 01 May 2020

Interview Date:  To be confirmed

Reference:  EPSEE1020

Downloads:  Candidate Brief

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