PhD studentship in computational imaging for next generation imaging systems

The revolution in imaging has been made possible by the development of high-performance electronic detectors and computer processing. The optics within commercial imaging systems has changed little however, but this is about to change. The project will combine modern optical design with computational image recovery to develop a new class of imaging systems that enable imaging with capabilities that have not previously been possible; such as imaging with extreme depth of field, the ability to detect range through a single aperture or to form diffraction-limited, wide field-of-view images with very simple or aberrated optics. The Imaging Concept Group is at the forefront of these developments.

The PhD student will conduct an appraisal of modern computational imaging for enhanced guidance systems with the aim of developing fundamentally new techniques for exploitation by the sponsoring company: for example the development of biomimetic foveal-imaging systems, multi-spectral imaging and hybrid optical-digital imaging for low-aberration imaging through conformal aerodynamic surfaces. One or more of these techniques will be developed through modelling, manufacture and demonstration. The student will develop underpinning optical theory, conduct mathematical modelling using MatLAB, Mathematica or Python and optical-design ray-tracing software using the optical design programme Zemax. The project will include the experimental implementation of practical systems. The ideal candidate will have abilities and interests in both the application of physics and mathematics and conducting rigorous experiments.

The Imaging Concepts Group consists of about 20 researchers (PhD/EngD students, postdocs, visiting scholars and academics) conducting leading-edge research in advanced imaging techniques and their practical applications. Research is conducted in newly refurbished laboratories and ~£2M of state-of-the-art optical instrumentation and equipment. Additional information and an overview of recent ICG research in computational imaging can be found in links in "References". The project is funded by MBDA and will involve conducting some research at their facilities in Bristol.

Applicants should have a good first degree or equivalent in a Physical Science or Engineering. Applications should be made by submitting a curriculum vitae and covering letter to Prof Andy Harvey at [Email Address Removed]. Informal enquiries are also welcome on +44 141 330 8606.