Machine learning for Novel Imaging Systems

Machine learning for Novel Imaging Systems

Supervisor: Professor Roderick Murray-Smith (

Description: At the University of Glasgow, supervised by Prof. Roderick Murray-Smith  

Available immediately, part-funded and run in collaboration with Amazon Research and QuantIC , the UK Quantum Technology Hub in Quantum Enhanced Imaging,

There will be opportunities for applying for internships at Amazon’s labs in Cambridge, Berlin or Seattle during the Ph.D.

The project will use machine learning frameworks such as Deep Convolutional networks and autoencoders with novel imaging techniques, including single-pixel cameras, hyperspectral imaging, 3D from ultra-precise timing and low-photon count imaging. The work will use novel imaging systems developed within the QuantIC hub.

Funding notes: Funding is available to cover tuition fees for UK/EU applicants for 3.5 years, as well as paying a stipend at the Research Council rate (estimated £14,553 for Session 2017-18).

Eligibility: Students should have a good degree in Computing Science, Maths/Stats, Physics or Engineering.

How to Apply: Please apply by sending a c.v. ASAP to with the final deadline being the 20th December 2017.

Deadline: 20 December 2017