We am recruiting (home & international) PhD students based at Imperial College London.
Project title: Deep learning models for dissolution dynamics of amorphous formulations in patient-specific gastrointestinal geometry
Research challenges addressed in this project: This project bridges AI, computational fluid dynamics, and pharmaceutical science to revolutionise how we predict oral drug performance. You will develop geometry-conditioned deep learning models that learn how drug dissolution and precipitation behave inside patient-specific gastrointestinal geometries derived from MRI or CT data. By combining machine learning with physics-based simulations, you’ll create fast models on patient-centric drug dissolution dynamics. This project offers the opportunity to work at the cutting edge of pharma innovation, geometry-aware AI, and personalised medicine.
We are seeking PhD candidates who are passionate about shaping the future of medicines manufacturing. Applicants with a background in chemistry, physics, pharmaceutical sciences, materials science, chemical engineering, mechanical engineering, electrical engineering, computer science, data science, or related fields are invited to take on our exciting PhD opportunities.