Research Associate in Tracking in Networked Environment

To work on an Engineering and Physical Sciences Research Council (EPSRC)-Defence Science and Technology Laboratory (Dstl) funded project as part of the Loughborough, Surrey, Strathclyde Cardiff  and Newcastle (LSSCN) Universities consortium within the Ministry of Defence (MoD) University Defence Research Centre (UDRC) scheme in signal processing; in particular, to provide signal processing solutions for the networked environment.

Candidates must have a PhD in signal processing, or a related topic, or equivalent experience, as well as experience of developing MATLAB software and familiarity with related toolboxes. Working knowledge of at least one of the following areas: advanced signal processing, Bayesian inference, particle filtering and machine learning would be advantageous. It is expected that the successful candidate will make contributions to the work package about reducing uncertainty in signal processing by incorporating domain knowledge or world models, particularly in one of the following two areas: object tracking in a networked environment by deeply exploiting domain knowledge; autonomous source term determination and (or) coverage tracking of chemical, biological or radiation substance using mobile sensor platforms particularly unmanned aerial vehicles.     

The post holder will work within the Department of Aeronautical and Automotive Engineering at Loughborough University under the supervision of Professor Wen-Hua Chen. (S)he will close work with other researchers in the LSSCN consortium and industrial partners under the guidance of technical officers of  Defence Science and Technology Laboratory (Dstl).

To complete your application, please follow the link https://vacancies.lboro.ac.uk/jobdesc/REQ17205.pdf.