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KTP Associate: Data Analytics and Machine Learning for Internet of Things (IoT) (405179)

University of Strathclyde - Department of Design, Manufacture and Engineering Management

Location: Glasgow
Salary: £32,000 per annum. (Competitive performance-based salary review) plus £5,000 training and development budget
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 13th October 2021
Closes: 7th November 2021
Job Ref: 317848
 

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:

  •  a challenging and rewarding job with responsibility
  •  competitive performance-based salary review
  •  a planned programme of training courses, including a £5,000 personal development budget
  •  mentoring from experienced industrial and academic supervisors
  •  the support and resources of the University of Strathclyde
  •  the possibility of registering for a higher degree with the University
  •  the potential for good career development with the company at the end of the scheme
  •  developing and proving expertise in the prospering fields of Data Analytics, Internet of Things and Digital Manufacturing
  •  the opportunity to make important and tangible improvements in a large and dynamic company with a world-renowned brand name.

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 (jorn.mehnen@strath.ac.uk).

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