Optimisation and control of laser-driven ion accelerators using machine learning

We are excited to announce a PhD opportunity in the field of laser-driven accelerators, focusing on optimising and controlling these systems using advanced machine learning techniques. Laser-driven particle accelerators are an enabling technology with the potential to revolutionise applications in sectors such as medicine, industry and security. They offer compact, high brightness and tuneable pulses of high-energy particles and radiation.

The development of high-repetition-rate, high-intensity lasers is significantly advancing these innovative sources by generating experimental data rapidly enough for real-time statistical analysis and feedback. Additionally, rapid progress in high-performance computing is enabling the creation of extensive complementary simulation data, vastly expanding the parameter space that can be explored through modelling.

This PhD project focuses on laser-driven ion acceleration, with the primary goal of developing advanced machine learning algorithms to use this data effectively. By doing so, the project aims to optimise the performance and control of laser-driven ion accelerators.

This involves:

1. Creating a new machine learning platform to model laser-plasma interactions and ion acceleration processes. The model will be trained using particle-in-cell simulations of the laser-plasma interaction physics.
2. Applying the machine learning platform to predict optimal operational parameters and enhance the stability and efficiency of laser-driven ion acceleration.
3. Collaborating with research group members to conduct laser-driven ion acceleration experiments at high power laser facilities, validating the developed model.

The PhD position is fully funded, covering stipend and tuition fees. Additionally, there is further funding available for conference travel and training expenses.

This opportunity offers the chance to work at the forefront of laser-plasma research, gaining valuable experience in both numerical/computation and experimental aspects of laser-driven accelerators and machine learning. You will participate in experiments at the Strathclyde SCAPA facility (https://www.scapa.ac.uk/) and at other high-power laser facilities, including the Central Laser Facility in Oxfordshire and the Extreme Light Infrastructure facilities in Europe. Moreover, you will have the chance to collaborate with leading national and international research groups, enriching your research experience and expanding your professional network.

Applicants are expected to have a first class or upper second class degree in physics (or an appropriate equivalent qualification).

Potential applicants are encouraged to contact Prof. Paul McKenna (paul.mckenna@strath.ac.uk) or Dr. Ross Gray (ross.gray@strath.ac.uk) for more information.