Fully-funded PhD at Imperial College London
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Nausheen Basha
Dec 12, 2025, 2:38:29 PM (4 days ago) Dec 12
to Women in Machine Learning
I am recruiting a PhD candidate for a competitive, fully-funded studentship at Imperial College London, Department of Chemical Engineering, in partnership with the CMAC, University of Strathclyde.
This is a unique opportunity to conduct research at the absolute cutting edge of digital medicine manufacturing. This research sits at the intersection of Artificial Intelligence, Computational Fluid Dynamics (CFD), and Pharmaceutical Science. This ambitious project will combine physics-based simulation with deep learning to create a fast, accurate framework for patient-level prediction, revolutionising personalised medicine.
This studentship is part of the prestigious EPSRC Centre for Doctoral Training (CDT) in Cyber-Physical Systems for Medicines Manufacturing (CEDAR), providing unparalleled benefits:
🚀Generous funding: A minimum annual tax-free stipend of £20,780 for four years, covering tuition fees and training costs.
👥👥Industry collaboration: Unique opportunities to collaborate/intership with industry leaders within the CEDAR programme.
👩🏻💻📓✍🏻💡Cutting-edge skills: Intensive training in geometry-aware AI, advanced computational modelling, and pharmaceutical innovation.
More information: https://www.findaphd.com/phds/project/deep-learning-models-for-dissolution-dynamics-of-amorphous-formulations-in-patient-specific-gastrointestinal-geometry/?p192879
Please share widely with your networks.
This is a unique opportunity to conduct research at the absolute cutting edge of digital medicine manufacturing. This research sits at the intersection of Artificial Intelligence, Computational Fluid Dynamics (CFD), and Pharmaceutical Science. This ambitious project will combine physics-based simulation with deep learning to create a fast, accurate framework for patient-level prediction, revolutionising personalised medicine.
This studentship is part of the prestigious EPSRC Centre for Doctoral Training (CDT) in Cyber-Physical Systems for Medicines Manufacturing (CEDAR), providing unparalleled benefits:
🚀Generous funding: A minimum annual tax-free stipend of £20,780 for four years, covering tuition fees and training costs.
👥👥Industry collaboration: Unique opportunities to collaborate/intership with industry leaders within the CEDAR programme.
👩🏻💻📓✍🏻💡Cutting-edge skills: Intensive training in geometry-aware AI, advanced computational modelling, and pharmaceutical innovation.
More information: https://www.findaphd.com/phds/project/deep-learning-models-for-dissolution-dynamics-of-amorphous-formulations-in-patient-specific-gastrointestinal-geometry/?p192879
Please share widely with your networks.
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