Research Associate/Fellow in Automotive Positioning, Navigation, Wireless Connectivity and Data Analytics (Fixed-term) (ENG186417)

For the NGI work in RECAPD, a key challenge will be to ensure an appropriate level of positioning and navigation performance and to integrate other data sources to provide novel information and functionality to the developed technology. In this respect, the successful candidate will work in the University of Nottingham’s NGI and will be responsible for integrating, processing and visualising location data derived from high accuracy GNSS and inertial measurement units. Such studies will aim to provide contextual intelligence relating to the road environment to aid the positioning of vehicles on the road and relative to each other. In addition, the research will consider the critical issues of vehicle to vehicle, vehicle to infrastructure and vehicle to anything connectivity. Since this is an industrial led project the candidate is expected to work effectively with the lead company to deliver the overall project goals.

Applications are invited for the above post based at Jubilee Campus, Nottingham to undertake research within the Nottingham Geospatial Institute (NGI) related to a recently funded Innovate UK project concerning connected and autonomous vehicles (CAV). The overall objective of RECAPD is to speed CAV deployment through Proof of Concept (PoC) of technical solutions that address essential real-world location and wireless connectivity issues to improve CAV autonomy. RECAPD will focus on defining relevant parameters and R&D of an innovative location platform through identification of real location issues on a mix of UK roads. This location platform will be empowered with an innovative processing engine that can switch intelligently between location solutions according to its working environments. It will also use the existing national digital infrastructure such as network RTK reference stations, GPS/Galileo, pavement embedded low-cost beacons to provide a ubiquitous CAV location solution.

Candidates must have an MSc or equivalent in a relevant topic such as global navigation satellite systems, computer vision or location based big data analysis and visualisation. Experience related to positioning and navigation for future automated vehicles is essential. The candidate will be expected to have strong software and hardware skills related to a range of geospatial technologies and services.

This full-time, fixed-term post is available immediately and will be offered for a period of 12 months.

Informal enquiries may be addressed to Dr Xiaolin Meng, Tel: 0115 8466029, or Email: xiaolin.meng@nottingham.ac.uk. Please note that applications sent directly to this Email address will not be accepted.

Closing Date: 09 Aug 2017
Category: Research and Teaching (R&T)