Postgraduate Engineer - Vehicle Control & Optimisation (20440) - Jaguar Land Rover - Coventry - Wizbii

Postgraduate Engineer - Vehicle Control & Optimisation (20440)

Job description

POSTGRADUATE ENGINEER  - Vehicle Control & Optimisation 

PROJECT START: As soon as successful candidate is found


LOCATION: Gaydon, Warwickshire 

POSTING END DATE: 06/09/2018



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. 


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.




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 machine learning techniques 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 driver style recognition algorithms to support a number of energy management functions used on hybrid and electric vehicles.


As part of your role, you’ll conduct a literature survey on driver style recognition functions. You’ll evaluate the application of various deep learning and regression techniques to classify the driver; investigate the sensitivity of energy management function performance according to the driver classification; and verify with computer simulations/vehicle tests the effectiveness of the integrated solutions.


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




With a strong interest in Intelligent System Design and CAE, you’ll be pursuing a postgraduate degree in engineering (computer science, mechanical, controls, electrical or similar) or applied mathematics. It would be beneficial to the role for the applicant to also have experience in vehicle simulation, Matlab and Simulink, and ideally you’ll have knowledge of rapid control prototyping, data logging and vehicle electrification.


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.




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.



Jaguar Land Rover is committed to equal opportunities for all.

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