Research Associate or Senior Research Associate in Data Science for Materials Engineering
- Organisation: University of Bristol, Solid Mechanics Research Group
- Salary: £33,797-£38,017 Grade I or £38,017-£42,792 Grade J
- Contract: Full-time, open ended
- Application deadline: 29th June 2021
The purpose of this role is to deliver research activities on deep learning artificial intelligence to develop surrogate models of complex microstructurally-informed metallic materials models. This role is being advertised as part of the new five year SINDRI Partnership project, funded by the Engineering and Physical Sciences Research Council (EPSRC), and EDF – the company which operates the UK’s fleet of nuclear reactors.
You will – in collaboration with internal and external colleagues – identify, collect, and assimilate data from micromechanical experiments to effectively calibrate available physically based models of mechanical behaviour at meso-scale. You will also develop surrogate models/emulators based on microstructurally informed meso-scale materials models (provided by other project researchers).
For full details of the role and to apply, click here