At the beginning of 2021, autonomous vehicle markets have been globally expanding, with novel technology ready solutions being investigated in order to make autonomous driving safer and more reliable. Extensive efforts have been made by government and industry, and it is estimated that between 2014 to 2018, £120 million has been invested in the United Kingdom for research into connected and autonomous vehicle (CAV) applications. It is also estimated that the total global CAV sector will be worth £906 billion by 2035.
In order to make autonomous technology a reality, detection of objects and vehicles requires accurate and a real-time response whilst employing clever radar signal processing techniques. The PhD research will work towards the design, implementation and testing of new RF antennas and electronics to support this every expanding industrial trend. In particular, high-resolution in angle is sought for the following applications: lane change assist, collision avoidance, and complete automobile self-driving. The PhD research activities will include but are not limited to optimal antenna array design, new radar electronic testing and implementation, calibrations, and adapting the most efficient signal processing routines. It is expected that the project research will have some interactions with industrial partners like Samsung, Silicon Radar, and Leonardo UK on the radar system design and its supporting hardware.
Interested students are asked to speak with Dr. Symon K. Podilchak (s.podilchak@ed.ac.uk) and arrange an appointment by email and discuss funding opportunities. Additional application information can be found here.
Please note that this vacancy may close at any time, and once a suitable candidate is found. If this role is of interest to you we recommend you apply as soon as possible.
To Apply: https://www.eng.ed.ac.uk/studying/postgraduate/research/phd/rf-electronics-and-radar-antenna-systems-automotive-radar-and
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