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    Job details

Offer: Machine Learning Engineer for Predictive Maintenance (KTP Associate):

Job description:

Job location: Loughborough University, Isle of Grain Power Station, Loughborough, Nottingham, Hybrid/On-site
income: £35,000 to £42,000 per annum at a starting income to be confirmed on offer of appointment
Hours: Full Time
Contract Type: Fixed-Term/Contract

Published in: 28th March 2024
Closing date: 21st April 2024
Reference: REQ240282

 

 

Uniper UK Limited
income will be between £35,000 - £42,000 per annum at a starting income to be confirmed on offer of appointment. The prosperous applicant will also receive a £2,000per annum training budget.
This is a full time, 24-month expertise Transfer Partnership (KTP) project between Loughborough University and Uniper UK Limited, funded by UKRI Innovate UK.
Due to the funding of this post, the associate must be in place to start work by 19th August 2024.
ProjectTitle: To develop predictive maintenance technologies for gas turbine electricity generator monitoring, facilitating continuity in supply and energy grid stcapability.
Uniper operate seven power stations in the UK utilising a variety of energy generation sources. With a broad portfolio of assets supporting the energy sector Uniper have stakes in the Europe to UK 235-kilometer gas pipeline, UK regasification and gas storage facilities.
We are seeking for a KTP Associate who will be a highly motivated, proactive and perceptive individual qualified to Master's level in engineering, computer science or a related discipline.
The prosperous candidate will ideally have practice of developing algorithms in significant Engineering subjects as well as conducting research that can lead to high quality conference or journal publications. The capability to collaborate with a diverse team, and to proactively take the initiative is essential.
The KTP Associate will be located primarily at the company's premises, Uniper UK Technology Centre, Ratcliffe-On-Soar, Nottingham, and will also spend some time at Uniper Grain Power Station, Kent, as well as Loughborough University with the academic team.
The Associate will be supervised by an academic team, led by Dr Eve Zhang and Dr Miguel Martinez Garcia, who are experts in predictive maintenance and machine intelligence.
The Associate will form an integral part of Uniper's Gas Turbine fleet team, working closely with the company managery team and company partners.
As a KTP Associate, the prosperous applicant will have access to a wide variety of commercial, R&D and management training programmes, as well as technical training resources and facilities at Loughborough University.
For more information refer to theJob Description and Person Specification.
Informal Enquiries
Informal enquiries should be made to the Lead Academic, Dr Eve Zhang (Y.Zhang@lboro.ac.uk).
The closing date for receipt of applications is 21stApril 2024.
The interviews will take place in two stages: The first stage will be in the w/c 29thApril 2024 for online interviews, and the second stage will be in-person interviews in the w/c 7thor 13thMay 2024.

Skills:

Job Category:  [ View All Jobs ]
Language requirements:
Employment type:
Salary: Unspecified
Degree: Unspecified
Experience (year): Unspecified
Job Location: Loughborough University, Isle of Grain Power Station, Loughborough, Nottingham, Hybrid/On-site, Nottinghamshire England
Address: Nottinghamshire
Company Type Employer
Post Date: 03/28/2024 / Viewed 183 times
Contact Information
Company:
Contact Email: Y.Zhang@lboro.ac.uk


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