For over a century, our understanding of the microscopic world has been built on imaging and microscopy. But traditional optical microscopy techniques suffer from major fundamental limitations - images are blurred so that features that are smaller than a wavelength of light, or features that are three-dimensional (that is, all living things) cannot be accurately recorded. In the imaging concepts group we research computational-microscopy techniques that break these traditional rules and apply them to real biological problems such as imaging 3D blood flow within whole organisms or within the human eye; or for recording gigapixel images with sub-micron resolution. See links below for additional information.
We seek a PhD student to join our team researching one of the following computational-microscopy techniques
- High-speed gigapixel volumetric microscopy using Fourier ptychography: next generation digital pathology for low and middle-income countries
- Smart microscopy: combined optical & computational approaches for adaptive imaging of dynamic biological samples
- Novel strategies for precision mapping of blood flow and heart pumping function
- Imaging of the retina for daily health monitoring
The ideal student will have an enthusiasm for combining optical science, advanced computational techniques and experimental optics. Applicants should have a 1st or 2i degree in Physics, Engineering or a cognate science.
The student will be supervised by Prof Andy Harvey and/or Dr Jonny Taylor within the Imaging Concepts Group. Please submit a CV and covering letter to Prof Andy Harvey by the deadline above. Prospective applicants are encouraged to email Prof Harvey in advance for informal discussions. Applicants should email a CV with covering letter to Prof Andy Harvey at the address below as soon as possible. Your covering letter should highlight your motivation and suitability for the position. Additional information about this post will be posted shortly.