We are seeking an experienced full stack developer to work closely with the founder to develop a platform to open access to a novel neural network technology developed in the Department of Physics.
We are developing a web based interface to the underlying algorithms, backed by a cloud provider (to be defined), to allow on demand building of neural networks that will be made available via API or downloadable, containerized packages. As the lead developer you will have the opportunity to make your mark on this exciting, innovative project, and be able to define the full architecture from front to back. Our current prototype is built on AWS and Ruby on Rails.
The role offers an opportunity to learn new skills from experienced engineers and scientists. An understanding and connection to the underlying physics is essential. Further formal and informal training will be given as appropriate.
The role will enhance the Department priorities by:
1) Stimulating interdisciplinary research by furthering collaboration with other Departments and Universities 2) Materials design aligns with efforts in CDT in Computational Methods for Material Science 3) Materials design aligns with the Energy@Cam strategic research initiative for discovery of new energy materials 4) The continuation of active research collaboration with industry to ensure ongoing impact of research 5) The discovery of real-life materials of industrial relevance aligns with Departmental goal for the practical application of physics research for the benefit of society
Fixed-term: The funds for this post are available for 1 years in the first instance.
Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.
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If you have any queries relating to this role, please contact Dr Gareth Conduit (University Research Fellow) on 01223 337005 or firstname.lastname@example.org
Queries relating the application process should be sent to email@example.com
Please quote reference KA19612 on your application and in any correspondence about this vacancy.
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