KTP Associate in Data Analytics

University of Strathclyde in partnership with Aggreko

Faculty - Faculty of Engineering

Department/School - Electronic and Electrical Engineering

Salary range:  £27,500 - £30,000 plus £5k training budget

FTE: 1

Term: Fixed (for 30 months)

Closing date: 4 June 2017

The Department of Electronic and Electrical Engineering, Institute of Signal, Systems and Communication in partnership with Aggreko (www.aggreko.co.uk) seeks to recruit a Knowledge Transfer Partnership (KTP) Associate in the area of predictive analytics for monitoring and maintenance of electrical generator plants. The KTP is a trilateral collaborative project between the Associate, the University and a company partner (see www.ktpws.org.uk). Aggreko provides power generator and temperature control solutions collecting telemetry data from ~10,000 assets deployed worldwide andis building their capability in Big Data, Machine Learning and Predictive Analytics to automate decision-making and optimise maintenance strategies. 

As a KTP Associate you will be principally based at Aggreko in Glasgow but you will spend periods of time at the University of Strathclyde as required. You will work jointly with Strathclyde and Aggreko to carry out analysis of data provided by Aggreko. You will be required to disseminate high-quality research output through the appropriate reporting channels.

In addition to the KTP core development training, you will have a dedicated budget of £5,000 for further training and career development and a pathway to obtained Chartered Management Institute (CMI) level 5 qualification in Management. Additionally, you will have the opportunity to enrol for a part time MPhil/PhD with the Department of Electronic and Electrical Engineering at Strathclyde University.

To be considered for the role you will be educated to a minimum of 2:1 BSc level in an Engineering, Computer Science, Mathematics or Physics related area or your will be educated to Degree level in a relevant field with significant, relevant experience. You will have a strong mathematical and programming background with experience in machine learning, artificial intelligence and predictive analytics. You will be capable of high-level problem solving and be capable of working effectively as part of a team and on your own initiative.

Initial interviews have been scheduled for 12 June 2017

For informal enquiries, please contact Dr Craig Michie, Reader, c.michie@strath.ac.uk 0141 548 2521.

For full details and to apply visit https://strathvacancies.engageats.co.uk/ and search for reference 73788.

Posted in: West, Vacancy