Coventry University Featured PhD Programmes
University College London Featured PhD Programmes
Imperial College London Featured PhD Programmes
University of Southampton Featured PhD Programmes
University of East Anglia Featured PhD Programmes

Computational Light Microscopy

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

A PhD studentship is available at the Computational Microscopy Lab of the University of Dundee. The student will develop a novel light microscopy technique to image biological samples in 3D. Although many biological samples are partially transparent, the inherent heterogeneity of biological specimen affects light propagation and causes image blur. This severely hampers the ability to directly investigate what happens beyond the first layers of cells.

To overcome the imaging-depth limit of microscopy, the student will combine adaptive optics, wavefront shaping and computational imaging. Although the work is ultimately aimed at biological applications, the initial testing will be performed on artificial sample phantoms as appropriate. The project includes both the experimental aspects of the design and construction of the microscope optics and control electronics, as well as advanced computational analysis as an integral part of the imaging process. This project builds on previous work such as Airy beam light sheet microscopy and novel computational methods.

The student will be based in the School of Science and Engineering at the City Centre Campus of the University of Dundee and will be supervised by Dr Tom Vettenburg. The newly established Computational Microscopy Lab recently received substantial funding from UK Research and Innovation to develop the next generation of computational microscopes. The student will be joining at an exciting time and at the centre of the action with ample opportunities to be involved at every aspect of the research.

This project demands a PhD student with a solid background in physics and mathematics, as well as experience in computer programming and a desire to apply theoretical knowledge to develop innovative solutions to the imaging-depth challenge in microscopy.

The ideal candidate should:

• be able to work independently and plan work to meet deadlines
• have a solid background in physics, mathematics, as well as computer programming
• understand electromagnetic wave propagation and optical image formation concepts
• be keen to acquire and apply theoretical knowledge to solve practical problems
• have proven problem-solving skills
• possess strong self-motivation and an enthusiasm for innovation and creative thinking
• have good communication skills, both written and spoken
• hold a first-class degree in physics or related discipline by the start of the PhD studentship

Applicants are invited to e-mail a CV with cover letter to . The cover letter should describe briefly why this specific project is of interest to you and how you meet the above criteria. Please contact Dr Vettenburg for further information about this PhD studentship.

adaptive optics

Funding Notes

To be eligible for a fully-funded PhD studentship, covering tuition fees and an annual stipend set at UKRI rates, the candidate must have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship (with some further constraint regarding residence for education, further guidance can be found on the EPSRC website).

Applications from self-funded students that identify a funding source from their home country are also welcome.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2019
All rights reserved.