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    • Loughborough

Ansök senast: 2024-12-07

Research Associate in Intelligent Electrification

Publicerad 2024-10-08

Job Title: Research Associate in Intelligent ElectrificationJob Reference: REQ240881Date Posted: Wed, 25 Sep 2024 00:00:00 GMTApplication Closing Date: Tue, 22 Oct 2024 00:00:00 GMTLocation: LoughboroughPackage: Specialist and Supporting Academic grade 6 from £34866 to £45163 per annum. Subject to annual pay award.

The post holder, Post Doc Research Associate (PDRA), will contribute to the exciting research programme of a recently approved EPSRC New Investigator Award (under Grant EP/W027283/1) to Dr Jun Yang. To advance an era of green, clean, and affordable energy, this EPSRC NIA project will develop a novel Modulator-free Performance-Oriented Control (Mf POC) framework as a paradigm shift of the advanced electric drive control strategy to deliver promising properties like higher control bandwidth, lower current distortion, and lower device switching frequency for electric machines. With these achievable performance specifications, when applying to vehicle electric motors, this new Mf POC technique  will significantly improve the energy conversion efficiency, and provide much higher power/torque density and smoother speed/current/torque regulation performance, which will substantially increase battery life, enable wider range of driving scenarios, and enhance user comfort and vehicle durability by reducing unwanted noise, vibration, and harshness (NVH) of electric vehicles.

 

The pose holder will have an opportunity to join a leading international team working on cutting edge research. They will have opportunities to collaborate with industrial partners. It is expected that the post holder shall have strong analytical skills and be interested in working on challenging theoretical problems in the engineering context. The PDRA will focus on advanced control theory on advanced control and optimization theory (e.g., finite control set model predictive control, disturbance observer-based control, deep reinforcement learning control, integer programming, and mixed integer programming) with focusing on application to direct electric drives for both permanent magnet machines and electric vehicles. The position is for 18 months.

 

For more information refer to the Job Description and Person Specification.

 

Closing date 22 October 2024

 

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