Additive manufacturing (AM), also referred to as 3D printing, is an ultra-modern fabrication technique helping to advance many sectors, from pharmaceutics to robotics. One of its appeal is the potential to achieve a decentralised manufacturing method, affording users added control over their product development. The proposed project seeks to extend the applicability of AM de-centralised concept by expanding AM to a continuous fabrication technology, such that there’ll be less reliance on AM users on outside sources.
The project will entail working with AM, sensors and machine learning and will suit those with creative and multi-disciplinary experience. Upon starting, the PhD candidate will join a world-leading group in pharmaceutical 3D printing, supervised by Professor Abdul W. Basit. The project will be based at University College London (UCL), a top 10 University in the 2021 QS World Rankings, within the vibrant and welcoming School of Pharmacy. During their project, the PhD researcher will have access to gold-standard facilities and resources, with strong mentorship, support, and frequent career development opportunities.
The ideal candidate will have an engineering (mechanical, EEE, biomedical engineering, or a similar degree) background with an interest in AM and healthcare. It is also desirable to be proficient in programming languages (python, C++), with experience in data acquisition.
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.