ABOUT THE ROLE
This is a great opportunity to apply modern autonomous systems engineering and machine learning approaches to develop and deploy a system for autonomous inspection of wind turbines using unmanned aerial vehicles. You will be delivering this ambitious innovation project and become a key part of the future strategy of Renewable Field Services Ltd, working with them at their base in Gateshead.
You will lead a transformation project – a Knowledge Transfer Partnership (KTP) – to develop an autonomous technology for optimum and accurate inspection of wind turbines using unmanned aerial vehicles. Working at Renewable Field Services offices in Gateshead, you will work with an academic team from the Mechanical and Construction Engineering department at Northumbria University, who will provide support to meet the project aims.
The opportunities available to you:
Leading and delivering a challenging and strategic R&D project that directly impacts the business Support from an academic team with specialist knowledge and experience relevant to the project Potential to be retained in a permanent position within the company at the end of the project £5,000 professional training and personal development budget Potential for performance-related salary increments Leadership and Management training from Ashorne Hill For full details of qualifications, skills and experience required for the post, please review the Role Description document . Please also note the specific application document requirements below.
This is a fixed term role for a period of 30 months .
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