Research Assistant / Associate in Generative Modelling for Ubiquitous Optical Healthcare Technologies (Fixed Term)

The role will entail: (i) development of approaches to the analysis of data from healthcare technologies; (ii) implementation of complex physics informed machine learning models into the developed healthcare data analysis approaches; and (iii) contribution to the supervision of a group of PhD students working on related problems.

• Knowledge of physics informed machine learning approaches suitable for healthcare data analysis.
• Knowledge of the implementation of complex statistical methods.
• Good writing and presentation skills.
• Good verbal and non-verbal communication skills.
• Good time management skills.
• A strong work ethic and a positive attitude are essential.
• Proof of authoring high quality academic publications.
Applicants must have (or be close to obtaining) a PhD in Physics Informed Machine Learning or have equivalent experience. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.