|Salary:||£32,000 per annum. (Competitive performance-based salary review) plus £5,000 training and development budget|
|Placed On:||13th October 2021|
|Closes:||7th November 2021|
Faculty of Engineering
Salary range: Starting salary £32,000 per annum. (Competitive performance-based salary review) plus £5,000 training and development budget
FTE: 1 (35 hours/week)
Term: Fixed Term (21 months)
The Department of Design, Manufacture and Engineering Management in partnership with Bosch Rexroth Limited (www.bosch.co.uk) are seeking to appoint a Knowledge Transfer Partnership (KTP) Associate in the area of Digital Manufacturing, with a focus on Signal processing, Data Analytics and the Industrial Internet of Things.
Bosch Rexroth Ltd, a UK registered wholly owned subsidiary of Bosch, provides economical, precise, safe and energy efficient technologies for driving, controlling and moving. The Bosch Rexroth plant at Glenrothes is the only Bosch plant that makes Radial Piston Motors for hydraulic applications, which are supplied worldwide. The site employs 400 staff and is responsible for product design, development, manufacture, assembly, testing and servicing.
The position offers the Associate the following benefits:
The post will be predominantly based at the company premises in Glenrothes (near Edinburgh) with potential visits to end users of the Radial Piston Motors worldwide and Strathclyde University Campus.
The project is part of the Knowledge Transfer Partnership (KTP) programme that aims to help businesses improve their competitiveness and productivity through better use of knowledge, technology and skills that reside within the UK knowledge base. Successful Knowledge Transfer Partnership projects are funded by UK Research and Innovation through Innovate UK and are part of the government’s Industrial Strategy. To find out how KTP works and the vital role you will play if you successfully secure a KTP Associate position please visit: www.ktpws.org.uk
To be considered for the role you will be educated to a minimum of Degree level in Computer Engineering or Manufacturing Engineering with computing experience. You will be skilled in the application of data analytics in product/process/service performance, have experience in the design and development of cloud-based/fog-based systems, experience of design and development of smart products/processes/services, experience of sensor application and Industrial IoT technology and experience in Digital Manufacturing, and some experience of working in industry. You will be self-directed and self-motivated, with the ability to project manage with guidance, as required, and you will have excellent communication skills with the ability to interact with a range of stakeholders and excellent negotiation skills with the ability to engage others.
Whilst not essential for the role, applications are welcomed from candidates with a Masters in a relevant discipline, and industry experience in IoT, smart technology or condition monitoring.
Formal interviews for this post will be held mid-late November 2021 – date to be confirmed.
Informal enquiries about the post can be directed to Professor Jorn Mehnen (firstname.lastname@example.org).
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