Join a team of researchers from the University of Glasgow and the “big image data” company, Dotphoton. You will be part of a multidisciplinary team of physicists and working on novel imaging techniques, of computer scientists working on novel machine learning approaches that encode the physics of the imaging problem and bio-engineers working with cutting edge microscopy techniques. The ambition is to develop new-generation, physics-constrained AI that can image better, faster and more intelligently that current systems. By embedding physical constraints in to the design of the AI, you will develop better microscopes and biological imaging techniques that will be tested on new-generation fluorescence microscopes and healthcare monitoring devices. The research will be carried out at the Advanced Research Centre (ARC) in Glasgow, where you will work with a team of physicists, computing scientists, engineers and biologists. The project will be in close collaboration with Dotphoton (Switzerland) and will ideally involve also in-person visits to the company premises to work with their team of data scientists.
The student will be accommodated in the University of Glasgow new Advanced Research Centre, ARC. This is a £100m multidisciplinary research building that co-locates researchers from quantum and nanotechnology, computing science, chemistry, technology touching life and arts/humanities. The PhD candidate will have desk space and access to all of the facilities, including 150 sq m of lab space available to the XLight team where they will be working from. The XLight team consists of 25 researchers with a ∼50/50 split between Ras and PhDs. All PhD students typically work in collaboration with other researchers and are supported by one or more Ras from within the team. For this specific computing-based project, the candidate will have access to full range of activities and experimental data from the team, ranging from quantum imaging experiments to sensor fusion for advanced imaging solutions applied e.g. to microscopy and healthcare applications. The candidate will also benefit from frequent visits to Dotphoton and close work with Bruno Sanguinetti and his team. The candidate will be the second student shared with Dotphoton and will therefore carry out their work based on a trialled and very successful collaboration with Dotphoton (hence also Dotphoton’s decision to fund a second studentship with the XLight group in Glasgow).
Given that this is a computer-based project, there is flexibility in the work pattern and this is provided as a default option to all members of the team. This will also allow a more constructive and time-managed approach to the collaboration with Dotphoton where WFH and/or work from the Glasgow office will be matched with on-site visits when needed The main work place will be Glasgow and IT equipment will be provided in order to support flexible working.
CDT Essential Criteria
A Masters level degree (MEng, MPhys, MSc) at 2.1 or equivalent.
Desire to work collegiately, be involved in outreach, undertake taught and professional skills study.
Project Essential Criteria
Background and knowledge of probability theory, data statistics, experience with ML, ability to program.
Project Desirable Criteria
Programming experience in Python.
The CDT in Applied Photonics provides a supportive, collaborative environment which values inclusivity and is committed to creating and sustaining a positive and supportive environment for all our applicants, students, and staff. For further information, please see our ED&I statement https://bit.ly/3gXrcwg. Forming a supportive cohort is an important part of the programme and our students take part in various professional skills workshops, including Responsible Research and Innovation workshops and attend Outreach Training.