Project Engineer Optical Sensors
Coventry (West Midlands) Personal services
Job description
POSTING END DATE: 01/12/2017
ADVERTISED SALARY: - £40,000 - £50,000
LOCATION: Warwick University, Warwickshire
Jaguar Land Rover Research Group has the task of developing proof of concept Level 5 (must be able to reach the destination with no driver input and despite system failures) Autonomous Vehicles.
WHAT TO EXPECT
Jaguar Land Rover is developing autonomous vehicle technology, although we aren’t looking at simply replacing the driver, and making cars ‘driver-less’ pods. Future technologies will give the driver more not less – they will assist and enhance the driving experience, with autonomous technologies helping with the challenging or more tedious parts of driving Our vision is to offer a choice of an engaged or autonomous drive, and the aim of our autonomous all-terrain driving research is to make the self-driving car viable in the widest range of real life, on- and off-road driving environments and weather conditions.
We are currently looking for a number of Applied Researchers / Scientists to join the research department. The successful candidates would be responsible for research and development of new vehicle sensing systems for Level 5 (SAE) Autonomous Vehicles, beyond the state of the art provided by our Tier 1 suppliers. The candidates would work on automotive sensing technologies such as computer vision, LIDAR and radar for scene understanding, object recognition and tracking.
Potential candidates with expertise ranging from Computer Vision, 3D Scene Reconstruction, SLAM, Machine Learning, Sensor Fusion and Robotics. The successful candidate will work alongside one of our teams in order to develop novel vehicle focused intelligent solutions. The candidate will be working regularly with multiple on-car (multiple in vehicle sensors, cameras, input devices and radars) data sources. The work will involve applying both classical and AI/Deep Learning techniques to the sensors.
The roles demand that the candidates be able to think “out of the box” on the use of the sensors – for instance current automotive radars “throw away” 80% of the potential information in order to keep the sensor processing and hence cost down. We want all the information at no cost penalty. JLR sponsor academic research on such systems (joint ESPRC funded TASSC Pathcad project and our own funded work into Tera Hertz radars and High Dynamic range cameras for instance) and we are beginning to understand the potential of the sensors. These roles are to covert those ideas and results into on vehicle solutions for production in 2023/24.
Philosophical issues need to be resolved – how do we validate in terms of functional safety the use of AI and Deep Learning? Are such techniques any less robust than classical algorithms? We need totally reliable and robust sensor systems but we need to achieve this with a low cost penalty, so what architecture and strategy do we need to adopt – also what sensor set is optimum?
You will work with mainstream engineering, Universities, external third party agents and technology suppliers, and with their own research ideas, to generate working real-time software, reports and presentations. The work will involve developing requirements and test plans for prototype and eventually production systems in this rapidly evolving area of high level vehicle automation.
WHAT YOU’LL NEED
The successful candidate should have a first degree in computer science, electronic engineering, Physics, Mathematics, computer vision, computational intelligence or a closely related area. A PhD is a huge plus for giving us candidates with real life experience in the use of vision-based and radar systems. Knowledge of vehicle networks, embedded/real time electronics, GPU and FPGA.
You’ll be able to demonstrate significant experience of Computer Vision, Scene Understanding, Object Recognition, 3D Scene Understanding, Sensor Fusion, and Object Tracking Experience with software toolkits like ROS, ADTF, Matlab or others Experience with real-time sensor processing. You’ll also have familiarity with computer vision libraries like OpenCV, OpenGL Familiarity with ROS would be an advantage. Knowledge of Advance Driver Assistance Systems, vehicle CAN and development tools and must be able to demonstrate strong programming skills.
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
Jaguar Land Rover is committed to equal opportunity for all.
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