PhD Studentship: Smart Optical Design: AI Tools for the Next Generation of Cinematic Camera Lenses

This project aims to develop a computational framework combining computer vision, computer graphics, and machine learning to accelerate and improve the design and simulation of camera lenses. Traditional lens design is slow, labour-intensive, and relies on expert-led iterative methods. We propose instead to learn mappings between lens design parameters and image-quality metrics using data-driven, differentiable rendering models. The framework will support two modes: forward simulation (predicting the imaging output of candidate lens configurations) and inverse design (proposing lens architectures to meet a target imaging/perceptual objective).

Supervisors: Dr Marco Volino and Dr Jean-Yves Guillemaut

Entry requirements

Open to any UK or international candidates. Starting in April 2027. Later start dates may be possible, please contact Dr Marco Volino once the deadline passes.

You will need to meet the minimum entry requirements for our PhD programme.

We are seeking a highly motivated and technically strong candidate with a background in computer science, electronic engineering, applied mathematics, physics, or a closely related discipline.

The ideal candidate will have:

• A first-class or high 2:1 honours degree (or equivalent) and preferably a Master’s degree in a relevant field.
• Strong mathematical foundations, particularly in linear algebra, optimisation, probability, and numerical methods.
• Experience in computer vision, computer graphics, computational imaging, or machine learning.
• Excellent programming skills in Python and/or C/C++, with experience using machine learning frameworks such as PyTorch or TensorFlow.
• Familiarity with rendering, simulation, or physics-based modelling (e.g., ray tracing, differentiable rendering, optics, or photometric modelling) is desirable.
• An interest in interdisciplinary research at the interface of AI, computational imaging, and industrial optical design.

We particularly welcome applicants who are excited about translating cutting-edge AI research into real-world engineering systems through close collaboration with industry. Strong problem-solving ability, creativity, and the capacity to work both independently and within a collaborative research team are essential.

Prior experience with optical systems, inverse problems, generative models, or high-performance computing would be advantageous but is not required.

How to apply

Applications should be submitted via the Vision, Speech and Signal Processing PhD programme page.

In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor.

Funding

Fully funded studentship opportunity covering home and international (waiver) university fees, additional research training, travel funds and UKRI standard rate (£21,805 for 2026/27 academic year).

Application deadline

17 January 2027

Enquiries

Contact Dr Marco Volino

Ref

PGR-2627-004