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Novel Camera Technology for Imaging of Cell Collectives - Start date: 1st October 2019

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

Project Description

The University of Glasgow (UofG) is home to world-leading research in the fields of imaging and computing science. UofG is also home to the UK Hub for Quantum Imaging Technologies, QuantIC ( who are co-funding this PhD research project in collaboration with a Horiba.
The student will be part of a unique, world-leading and international research team, with training in cutting edge research techniques involving computational techniques, AI and data compression applied to next generation biological and quantum images.

The project
We are searching for a highly motivated student to work at the interface between bio-imaging (in particular fluorescence lifetime imaging, optics and computing science (computational imaging, inversion techniques and AI).
The aim of this project is to bring together expertise developed within Horiba, based in Glasgow within walking distance of the University main campus, with machine learning and computational techniques to create a new-generation camera technology. This will then be employed for wide-field (mega pixel) fluorescence lifetime imaging and optogenetics thus allowing to image in real-time cell-collective behaviour under external stimulation. The project will be carried out within the context the EPSRC Physics of Life Sciences programme in collaboration with Physics, Computing Sciences, Engineering and Cancer ResearchUK (Beatson Institute, Glasgow), providing a world-leading and unique research environment at the boundary between STEM subjects.
The main goal is to use/develop Dotphoton’s approach to data compression and thus fit up to four times more image data in a GPU memory. We will search for options in which we can either decode on-the-fly, or format the data such that it can efficiently be directly used by the machine learning algorithm. This will be a game-changer for machine learning applied to imaging in all sectors, e.g. lidar, MRI, bio-imaging but also more in general, in any applications where large amounts of data are involved.

How to apply
Applications must be submitted through the University of Glasgow online application system -
You will be required to submit a cover letter, CV, the name of two references and your transcript/degree certificate.
If you have any questions or require further information please email

Funding is available to cover tuition fees UK applicants for 3.5 years, as well as paying a stipend at the Research Council rate (estimated £14,764 for Session 2018-19).

Funding Notes

Fully funded studentships are available at the UK/EU rate. Applicants must have or expect to obtain a first-class degree (2.1 or equivalent) in an appropriate discipline in the physical sciences including physics, maths, computing and engineering or other relevant disciplines.
Equality, diversity and inclusion
UofG places equality, diversity and inclusion at the heart of its activities, offering part-time studentships, funding to support applications from under-represented backgrounds, childcare support for conference attendance, flexible working for carers as well as prompting a work-life balance.

How good is research at University of Glasgow in Physics?

FTE Category A staff submitted: 44.90

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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