MBDA is expanding its research into Computational Optical Sensing and Imaging (COSI). One area of interest is Structured Imaging using, for example, Ladar (Laser Detecting and Ranging) to map a scene in real-time. The image of the scene is formed from thousands of pulses, with each pulse being directed to a particular point within the scene. Within this context, several topics are of particular interest, including the following examples:
MBDA is also interested in augmenting current sensors using COSI techniques. One example would be to replace a high grade lens with a lower grade lens and correct the optical aberrations using deconvolution. Within this context, MBDA is particularly interested in the degree to which Artificial Intelligence (AI)-based techniques can complement or supplant more traditional techniques that rely upon a forward model of the image formation process.
A potential limitation when using AI techniques is their reliance on large quantities of training data, however, it seems likely that AI techniques could be used to characterise a sensor and thereby form part of the image reconstruction process. In the example above, AI techniques could be used to characterise the spatially variant Point Spread Functions associated with a low grade lens, which would then be used in a traditional deconvolution process. The aim of this element of the research would be to outline:
The research will provide a balance between theoretical analysis, algorithm development and programming. MBDA will provide access to expertise, models and data as necessary.
The project is expected to contribute to the fields of structured imaging, compressed sensing and computational imaging.
Candidates will have a 1st or 2:1 in Maths, Physics or a related field such as Electronic Engineering. Candidates will have an aptitude and interest in computational imaging techniques, such as super-resolution and sparse image reconstruction. The candidate will need to be comfortable in a self-led research project, but able to collaborate with a team of scientists and engineers when required.
A good understanding of signal processing techniques and theory will prove to be highly beneficial, as will experience with MATLAB, Python or other scientific programming languages.
MBDA is the only integrated defence company to provide missiles and missile systems for each branch of the armed forces (air, sea, land). We are the single largest supplier of complex weapons to the European market, and have over 10,000 employees across 6 countries. Our technical directorate undertakes research, development and innovation programmes across the breadth of engineering challenges we face. From software to fluid dynamics to advanced materials and radar techniques, we have invested in our people and infrastructure to create a state of the art commercial research community.
In the electro-optics group at MBDA, we are undertaking a wide range of internal research and development streams. We look into advanced imaging techniques, using advanced optical materials with the aim of maintaining MBDA’s reputation as a global player in missile guidance systems.
You will work with a range of engineers, physicists and computer scientists across our sites, using a combination of practical, computational and theoretical work to create world-leading solutions to state of the art challenges in defence.
Flexible Research Working
MBDA is committed to making work a comfortable and enjoyable experience. We are constantly improving our sites and facilities, creating a lively and open working environment that has earned us 11th place in the Sunday Times “Best Big Companies to Work For” ranking.
MBDA operate a flexi-time scheme, where employees can vary their start and end of work times around a set of core hours, in order to let you fit your work around your home life schedule. Further details are available on request.