Department of Engineering, Central Cambridge

The post holder will be located in Central Cambridge Cambridgeshire, UK. A position exists for a Research Assistant/Associate in the Department of Engineering to develop numerical modelling methods using machine learning and other methods such as optimisation for materials "made to design". The project will involve a close collaboration with in-house experimental activities as well as international groups developing new methods to assemble micro-architected materials with designed properties. These methods include additive manufacture and self-assembly and the project will involve developing modelling methodologies for understanding the generation of defects during manufacture and proposing solutions to circumvent these defects.

The specific goals include:

Development of numerical methods (including but not exclusively graph neural networks) for understanding the generation of defects during additive manufacturing processes such as micro stereolithography.
Developing optimisation methods that include the effect of these defects.
Validation of methods against experimental data.
The skills, qualifications and experience required to perform the role will include a good working knowledge of Finite Element computations with a strong continuum mechanics background and experience in machine learning methods. The applicant will have obtained or be close to obtaining a PhD in Mechanics of Materials/Mechanical Engineering/Materials or related subjects.

https://www.jobs.cam.ac.uk/job/34547/