Available Projects
AI for Predicting Particle Deposition in Lung Networks
Develop AI and Deep Learning models trained on high-fidelity Langevin Dynamics simulations of particle motion within complex branching lung networks. This will yield fast predictions crucial for optimising inhalation drug delivery and personalised respiratory medicine.
Primary supervisor: Professor Duncan Lockerby - Email: Duncan.Lockerby@warwick.ac.uk
Project detail:
Ready to pioneer the future of AI-driven respiratory biomechanics?
The challenge of predicting where inhaled particles settle is central to respiratory health, toxicology, and the efficacy of inhalation drug delivery. Traditional computational models struggle to handle the immense complexity of particle deposition within the human lung network. This PhD project addresses this critical gap by leveraging Artificial Intelligence to create fast predictions of particle deposition across the entire bronchial tree.
We are seeking a highly motivated PhD candidate for a cross-disciplinary project at the interface of computational fluid dynamics, machine learning, and biomechanics. You will employ high-fidelity Langevin Dynamics (LD) simulations to model the complex, inertial, and stochastic motion of inhaled particles within both idealised ad physiologically-realistic branching lung networks, from the major bronchi down to the alveoli. The core objective is to integrate this rich simulation data with Artificial Intelligence (AI) and Deep Learning models to create rapid, predictive tools for personalised respiratory medicine and aerosol science. This research will be critical for optimising inhalation therapy and assessing environmental health risks.
This opportunity is best suited for candidates with a degree in Engineering, Computational Science, or Applied Physics. Experience in fluid mechanics, statistical mechanics, transport phenomena, and advanced numerical methods is desirable (but not essential). An interest in scientific programming and High-Performance Computing (HPC) is also valuable.
- How to apply for admission: www.warwick.ac.uk/pgrengineering
- How to apply for a scholarship: https://warwick.ac.uk/fac/sci/eng/postgraduate/funding/
The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.