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Postgraduate Engineer - Adaptive Control & Optimisation

Location: Coventry, GB

POSTED DATE: 15/05/2018

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POSTGRADUATE ENGINEER - Adaptive Control & Optimisation 

PROJECT START: As soon as a successful candidate is found

PROJECT DURATION: Six to Twelve Months

LOCATION:  Gaydon, Warwickshire

 

An ever-evolving heritage. A truly exciting future. Two of the world’s most iconic brands. Jaguar Land Rover is revered across the globe. Continually pushing the boundaries of innovation and redefining the benchmark for excellence, we set the standards others want to follow. We want to keep it that way too. Which is where you join the journey.

 

WHAT TO EXPECT

 

Our Electrified Powertrain Systems, Calibration and Controls team is responsible for delivering robust, innovative Vehicle Supervisory Controllers for various Jaguar Land Rover hybrid and electric vehicles. We are looking to recruit a very enthusiastic engineer to join the team - someone who is interested in adaptive control and optimisation combined with Hybrid Vehicles Control Strategy development and wants to develop their skills.

 

On this Postgraduate Placement, you’ll be part of the project that is developing real-time capable (embedded) hybrid vehicle models using deep learning techniques. These models will then be used to detect/isolate/quantify sources of noise factors (uncertainty) and adapt the hybrid energy management functions as necessary to maintain optimal vehicle operation.

 

 

As part of your role, you’ll conduct a literature survey on modelling and control techniques for hybrid vehicle energy management, adaptive control and state/parameter estimation. You’ll evaluate the application of various deep machine learning techniques to model hybrid vehicle systems; investigate the sensitivity of energy management function performance on parametric uncertainty; develop and verify integrated solutions to compensate for parametric uncertainty using CAE simulations and conducting vehicle tests.

 

By developing our data analysis methodology in this way, you’ll contribute to the design and implementation of adaptive machine learning algorithms for the given engineering problem.

 

WHAT YOU’LL NEED

 

With a strong interest in Intelligent System Design and Control System Engineering, you’ll be pursuing a postgraduate degree in control, computer science, mechanical/electrical engineering or similar. You’ll also have experience in CAE, vehicle simulation, Matlab/Simulink and vehicle electrification; and ideally you’ll have an appreciation of failure mode avoidance analysis and system engineering methods.

 

A resilient self-starter with the ability to resolve technical challenges with limited guidance, you’ll be able to deliver results under pressure, whilst responding constructively to new ideas and inputs.

 

BENEFITS

 

Bring all this to the home of premium innovation, and you’ll find the opportunities to further your career with a world-class team, a discounted car purchase and lease scheme for you and your family, membership of a competitive pension plan and performance related bonus scheme. All this and more makes Jaguar Land Rover the perfect place to continue your journey.

 

Disclaimer

This project is offered to those who are pursuing a postgraduate degree (at least MSc or equivalent) as a part of the Research Postgraduate Placement Scheme. All placements are offered on a fixed term contract and must complete within twelve months, or sooner if specified in the start and completion information as part of this specification. You will agree with your manager on a suitable start and finish time and project objectives aligned with your technical interests and business needs. Students must already have a Right to Work in the UK visa for the complete duration of the placement, and be able to undertake 40 hours per week, each week, for the duration of the project.

 

#JLRPG

 

 

POSTING END DATE: 14/06/2018
ADVERTISED SALARY: £15,600
An ever-evolving heritage. A truly exciting future. Two of the world’s most iconic brands. Jaguar Land Rover is revered across the globe. Continually pushing the boundaries of innovation and redefining the benchmark for excellence, we set the standards others want to follow. We want to keep it that way too. Which is where you join the journey.


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