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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 an exciting new five year project, called the SINDRI Partnership, 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).
Member vacancy listings
Inductosense - Applications Engineer
- Salary: competitive salary and the opportunity for growth with the company
- For further information please contact email@example.com
Inductosense develops and manufactures wireless, battery-free sensors and systems for corrosion monitoring. Our technology has been trialled and deployed on assets across the world. We have achieved significant growth over the past two years and are scaling up the team to take advantage of the huge number of opportunities across a range of markets. We now require an additional engineer to join our applications team. This is a customer-facing technical role where communication and precision are key.
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