Soft Robotics for Advanced Drug Delivery Powered by Machine Learning at University College London on FindAPhD.com

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Prof Abdul Basit Applications accepted all year round Self-Funded PhD Students Only

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London United Kingdom Biomedical Engineering Biophysics Electrical Engineering Electronic Engineering Computer Science Materials Science Pharmaceutical Chemistry Pharmacology Pharmacy Toxicology

About the Project

The aim of this project is to harness the power of various artificial intelligence (AI) technologies to build advanced drug delivery systems for improved controlled and personalised medicines. Current drug delivery systems rely on passive diffusion of the drug from the system to the surrounding biological milieu. However, as passive diffusion is governed by Brownian motion, it makes it difficult to predict the drug release characteristics when given to patients. The medical field is beginning to accept that every patient is unique, and hence new and sophisticated technologies are needed to provide personalised treatments. AI is one technology that is anticipated to address this research gap, given its ability to push the boundaries of innovation whilst achieving translational success. The project will seek to use machine learning to facilitate the development and control of soft robots to improve drug delivery. The implication of the project will have a broad impact on healthcare as a whole.

The project is a collaboration between University College London (London, UK) and KTH Royal Institute of Technology (Stockholm, Sweden). The successful PhD Candidate will join a renowned research group, supervised by Professor Abdul W. Basit at University College London (UCL), a top 10 University in the 2021 QS World Rankings.

The ideal candidate will have a degree in pharmaceutical sciences, materials, physics, engineering or allied fields. Previous experience with fabricating soft and functionalised materials will be highly desirable. Equally, prior experience to assembling robots is also desirable.

Applications

Applications are welcome from both UK and overseas candidates. To apply, please send a CV and cover letter to Prof Abdul Basit at [Email Address Removed]. For more information on this project, please contact Prof Abdul Basit.