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.
Research Assistant: £27,116 – £31,406
Research Associate: £33,309 – £40,927
Fixed-term: The funds for this post are available for 24 months in the first instance.
To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/34547.
Please ensure that you upload your Curriculum Vitae (CV), a list of publications and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.
If you have any questions about this vacancy or the application process, please contact: Hilde Hambro, Group Administrator, email email@example.com (Tel +01223 748 243).
Please quote reference NM30956 on your application and in any correspondence about this vacancy.
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