Research Assistant / Associate in Machine Learning for Generative Modelling in Structural Health Monitoring (Fixed Term)

A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on the development of generative modelling based approaches to population based structural health monitoring. The post holder will be located in West Cambridge, Cambridgeshire, UK. The role will entail: (i) development of approaches to the analysis of data from populations of assets; (ii) implementation of complex machine learning models into the developed population based approaches; and (iii) contribution to the supervision of a group of PhD students working on related problems.

• Knowledge of generative modelling machine learning approaches suitable for population based structural health monitoring.
• 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 Machine Learning for Generative Modelling 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.