Research Fellow in Imaging, Computer Vision and Autonomous Systems

Cranfield, Bedford
£32,094 to £35,773 per annum
16 Oct 2017
End of advertisement period
09 Nov 2017
Contract Type
Fixed Term
Full Time

Research Fellow in Imaging, Computer Vision and Autonomous Systems

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 additional performance related pay up to £44,716 per annum)
Apply by  09/11/2017

This post offers challenging and stimulating opportunities for researchers with a background in Image Processing, Computer Vision and Autonomous Systems. 

Signals and Autonomy Group is one of the six groups within the Centre for Electronic Warfare, Information and Cyber.  The Group covers a wide variety of topics encompassing; Image Processing Techniques, 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 Imaging, Computer Vision and applications on autonomous systems
  • To publish high quality journals based on the research carried out
  • To manage/participate in the daily basis interaction with our research partners
  • To supervise practical work where it is part of the intended project or other projects in the Signals and Autonomy Group 

You will have:

  • A PhD (or nearing completion) in an appropriate field
  • Significant expertise in image processing, computer vision and/or estimation theory from industrial or academic exposure
  • Experience of publishing in high quality journals
  • Knowledge in terms of sensor systems (Cameras and/or LIDAR, and/or Inertial sensors) 

In addition, skills for Matlab/C/C++ programming proficiency are essential.    
A PhD with an application on imaging and Computer vision and familiarity with autonomous systems concepts are desirable.

Interviews will be held 16 November 2017.