Research Fellow in Vision Based Navigation for Planetary Rovers

Cranfield, Bedford
£32,094 to £35,773 per annum with performance related pay up to £44,716 per annum
26 Oct 2017
End of advertisement period
24 Nov 2017
Contract Type
Fixed Term
Full Time

Research Fellow in Vision Based Navigation for Planetary Rovers

Organisation  Cranfield University
School/Department   Centre for Electronic Warfare, Information and Cyber
Based at   Shrivenham, Oxfordshire - Cranfield Defence and Security 
Hours of work  37 hours per week normally worked Monday to Friday
Contract type  Fixed term contract
Fixed Term Period  Fixed term for 12 months
Salary  £32,094 to £35,773 per annum with performance related pay up to £44,716 per annum 
Apply by   24/11/2017 

This post offers challenging and stimulating opportunities for researchers with a background in Vision based localisation for ground mobile robots. The work covers the development of an innovative thermal imaging based localization system to improve rover’s navigation in Mars. You will have the chance to work and technically manage activities of a prestigious project funded through a well-known competition at the UK governmental level on space applications. Working on other industrially funded projects related to autonomous vehicles is also part of the duties of this post.

Signals and Autonomy Group is one of the six groups of Centre for Electronic Warfare, Information and Cyber. Internationally reputable, the Group covers a wide variety of topics encompassing; Vision based Navigation systems, Autonomous Vehicles, Security, Automatic Object Recognition, 2D/3D Mapping, and Guidance and Control Techniques.

Main responsibilities include:

  • To perform research in Vision (Thermal) based localization for planetary rovers
  • To publish high quality journals based on the research completed
  • To manage the daily basis interaction with our research/industrial partners
  • To supervise practical work where it is part of the intended project or other projects in the Signal and Autonomy Group

You will have a PhD/doctorate (or nearing completion). You will also have significant expertise in image processing and computer vision from industrial or academic exposure; a track record of publications in peer reviewed relevant conferences and journals and very good Matlab/C++ programming skills.

PhD with an application on computer vision for space or other autonomous vehicles, experience in vision based localization (SLAM) for autonomous vehicles, Multi modality data acquisition and fusion and Thermal imaging and LIDAR exposure are a plus.

Interviews will be held on 29 November 2017