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Postdoctoral Research Associate - keele

Job Description

The post holder will be part of a team researching and designing novel optimisation and machine learning algorithms for local energy trading systems. He/she will also contribute to the deployment of the energy trading system on Keele campus as well as other sites and subsequent data analysis of trial results. The post holder will work closely with a wide range of project stakeholders including academic researchers, industry partners, Keele Estates and disseminate the project findings through publications in high quality journals and conferences. 

The successful candidate will have a PhD (or close to completion) in an appropriate subject area such as Engineering or Computer Science, and experience of designing optimisation algorithms and applying machine learning techniques to practical systems.

Informal enquires can be made to Prof. Zhong Fan, PI on the project via z.fan@keele.ac.uk.

The University is committed to operating flexible working practices wherever possible.

Keele University values equality and diversity across our workforce and to ensuring our staff community is reflective of the diversity of our student population. In support of these commitments the University welcomes applications from individuals of Black, Asian and ethnic minority backgrounds for all roles. 

For full post details please visit: www.keele.ac.uk/vacancies

Keele University employees wishing to apply should login to Employee Self Service and click on the 'View current vacancies' link. 

Closing date for applications: 12th June 2020

Salary: £33,797
Employment Type: Contract Based
Contact Information
Name: Prof. Zhong Fan