Research Associate in Data Fusion for Autonomous Vehicles

Heriot-Watt University - School of Engineering and Physical Sciences

The post is available for 18 months

The successful applicant will join the PATHCAD academic/industrial team of scientists and engineers working to address the challenge to develop multi-function sensing technology for autonomous vehicles operating in all-weather and challenging terrain conditions. Based at Heriot-Watt University in Edinburgh, the programme is collaborative between us, the Universities of Birmingham and Edinburgh and Jaguar Land Rover. Specifically, the programme includes the design of novel THz sensors and Radar signal analysis to deliver a high resolution 3D Radar imaging capability (1-10cm). Fusion of Radar with optical data (camera, LiDAR) for scene mapping, actor (car, pedestrian etc.) and object  (textural, potholes etc.) identification. "Cross Learning” between the optical and Radar systems to increase robustness in all weather and on all terrains System prototyping and evaluation using the sensor data as input to a vehicle guidance and control system. 

The appointee will be asked to perform work on data analysis and fusion for scene mapping, where the data in question is 3D Radar data from the new THz sensors, stereo and optical flow data from cameras, and LiDAR data from a scanning system.  The key novelty in the work arises not just from the data sources themselves, which are challenging and rather different from previous radar analysis and fusion sources, but also the need to incorporate changing models of sensor performance as weather deteriorates. Hence, the applicant must have a thorough grounding in statistical signal and image processing. Additional knowledge of neural network methods is advantageous but not essential. 

Applicants should hold a PhD in a relevant area of Signal and Image Processing or a related subject  (or a thesis submitted by the start date of the project) and possess and maintain sufficient breadth or depth of specialist discipline knowledge to develop new techniques in statistical signal processing for data fusion.

Informal enquiries may be made to Professor Andrew Wallace at a.m.wallace@hw.ac.uk

Applications are particularly welcome from women and black and ethnic minority ethnic candidates, who are under-represented in academic posts at Heriot-Watt.

For application details and further information please go to: www.hw.ac.uk/apply-jobs

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