Data analytics solutions for industrial IoT with smart energy applications

This project will investigate data analytics solutions for industrial IoT, in particular, smart energy applications. It will see Astec work closely with Keele University, exploiting their large, varied campus to develop one or more smart energy use cases for which a product solution developed by the Astec team could be of commercial interest to an end user (B2B). By working with the university’s services arm, Astec will gain insight into the challenges faced by an emerging smart city as it looks to employ data analytics to drive energy source collaboration and usage efficiencies. Working with GE data scientists in the Cloud Foundry, Astec can rapidly design and prototype applications. The ultimate aim is to turn data into knowledge, and knowledge into action.

This post represents an exciting opportunity for an ambitious graduate to become part of a new cohort of exceptional researchers in a unique partnership between academia and business as part of Keele University’s Smart Energy Network Demonstrator (SEND) project.

Under the supervision of an academic project lead, you will undertake a programme of collaborative research, development and innovation (RD&I) which will underpin the development of a new product, process or service, working collaboratively with a Stoke-on-Trent and Staffordshire business, Astec IT Solutions Ltd. In addition, the postholder will be eligible to submit the work undertaken as the basis for a body of work to be examined for consideration of the award of a PhD from Keele University.

This opportunity is advertised on http://www.keele.ac.uk/vacancies. This is also the link for applications. Applications will only be accepted on the application form on the Keele University vacancies site.
Please ensure you read the full details of the SEND Graduate Researcher vacancy.
SEND Graduate Researcher (Astec IT solutions) (Job Reference: KU00000677).