EPSRC iCASE Award PhD studentship: Origin Location and Orientation of Imagery Aims

Primary supervisor

Additional information

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Other projects with the same supervisor


  • Directly Funded Project (European/UK Students Only)
This research project has funding attached. Funding for this project is available to citizens of a number of European countries (including the UK). In most cases this will include all EU nationals. However full funding may not be available to all applicants and you should read the full department and project details for further information.

Project description

Applications are invited for a fully funded (tuition fees plus additional stipend), full-time PhD EPSRC iCASE studentship, to start in September 2017 or as soon as appropriate.

Project: The project aims to exploit imagery to be able to locate the position and orientation of a UAV by comparing the live image data with existing information (maps or images). Whilst this can be achieved with local telemetry (e.g. GPS or gyros) to fit telemetry with the desired precision (particularly with respect to orientation) may not be possible or affordable. Furthermore, synchronisation of the telemetry with the video stream may be a challenging technical problem for unstable platforms. Consequently, it is desirable to infer this information from an image itself with reference to static contextual information. It is understood that this is related to the "well known" SLAM (Simultaneous Localisation and Mapping) problem, but differs in that the map in this case is known. For the purpose of this project we also assume that the location of the sensor is known to a resolution of 100m (probably less).

The University of Manchester has signed a strategic framework agreement with the multinational defence, security and aerospace company BAE Systems to establish a long-term relationship in research, education and consultancy.

BAE Systems provides some of the world's most advanced, technology-led defence, aerospace and security solutions and employ a skilled workforce of some 82,500 people in over 40 countries. We develop, engineer, manufacture and support products and systems to deliver military capability, protect national security and people and keep critical information and infrastructure secure. In 2016 BAE Systems reported sales of ??19.02B. BAE Systems Naval Ships is exploring the application of artificial intelligence technologies to assist in decision making providing command teams with enhanced computer aided support and thereby increasing operational performance.

Applicants should have or expect to obtain a BSc 1st Class or MSc with Distinction in computer science or a related discipline and have good data analysis, image processing and programming skills. Applicants must also have British citizenship or be a permanent resident and have lived in the UK for the last 3 years.

Informal enquiries can be made to Tim Morris (tim.morris@manchester.ac.uk).
Deadline for applications is 31/07/2017.

Keywords: Computer Vision, SLAM, Drone, UAV.

Person specification

For information


Applicants will be required to evidence the following skills and qualifications.

  • You must be capable of performing at a very high level.
  • You must have a self-driven interest in uncovering and solving unknown problems and be able to work hard and creatively without constant supervision.


Applicants will be required to evidence the following skills and qualifications.

  • You will possess determination (which is often more important than qualifications) although you'll need a good amount of both.
  • You will have good time management.


Applicants will be required to address the following.

  • Discuss your final year Undergraduate project work - and if appropriate your MSc project work.
  • How well does your previous study prepare you for undertaking Postgraduate Research?
  • Comment on your transcript/predicted degree marks, outlining both strong and weak points.
  • Why do you believe you are suitable for doing Postgraduate Research?
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