KTP Associate in AI-Powered Predictive Maintenance

This Knowledge Transfer Partnership, between Aston University and Genie UK Limited, offers an opportunity to oversee the development of an advanced AI-driven predictive and prescriptive maintenance system for Genie's lifting equipment. The project focuses on connected, partially connected, and non-connected machines, transforming telematics, onboard sensor data, and historical maintenance data into actionable maintenance intelligence within Genie's Lift Connect platform. You will contribute to a sector-leading project, with responsibilities that include developing intelligent data-quality agents, predictive models that can transfer across machine families, prescriptive decision support, operational dashboards, and ensuring the delivery of methodologies, documentation, training, and workshops needed to integrate the solution into the business.

You will manage a strategic project of direct importance to the business. The role provides experience in developing a minimum viable product, collaborating with subject matter experts from service, project management, organisational change, parts, data, telematics, and commercial teams, and contributing to the launch of a new predictive maintenance service. You will receive day-to-day guidance from business and academic supervisors, along with access to Aston's KTP Associate network, and a dedicated personal development budget to support your professional growth throughout the project.

This Knowledge Transfer Partnership, between Aston University and Genie UK Limited, gives you the chance to lead the development of an advanced AI-driven predictive and prescriptive maintenance system for Genie's lifting equipment. The project focuses on connected, partially connected and non-connected machines, turning telematics, onboard sensor data and historical maintenance data into actionable maintenance intelligence within Genie's Lift Connect platform. You will work on a sector-leading project, with responsibility for developing intelligent data-quality agents, predictive models that can transfer across machine families, prescriptive decision support, operational dashboards and ensure delivery of methodologies, documentation, training and workshops needed to embed the solution in the business.

You will lead a strategic project of direct strategic and commercial importance to the business. The role offers experience of developing a minimum viable product, working with subject matter experts from service, project management, organisational change, parts, data, telematics and commercial teams, and contributing to the launch of a new predictive maintenance service. You will receive day-to-day guidance from business and academic

This is a Knowledge Transfer Partnership (KTP) funded by Genie UK Limited and Innovate UK. KTPs are collaborative, three-way partnerships creating positive impact and driving innovation by linking businesses with the UK's world class knowledge bases to deliver innovation projects led by skilled graduates. It is essential you understand how KTP works and the vital role you will play if you secure this position.

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Aston University:
You will work in a project team with Prof Abdul Sadka and Dr Chao Liu from Aston University and the Senior Management Team at Genie UK with further support from an Innovate UK Knowledge Transfer Adviser.

You should be educated to PhD level in a relevant field such as Artificial Intelligence, Machine Learning, Computer Science, Data Science, Control Engineering, or a related subject, and you should be able to demonstrate project experience in a technically demanding area. Skills and experience required for this exciting role include:

• Demonstrable experience in software tools for data analysis, such as SQL, Power BI, and cloud-based analytics environments
• Feature extraction and time-series analysis
• Probabilistic prediction techniques using scalable Python-based development environments such as PyTorch or Tensor Flow
• Cloud-native machine learning and MLOps environments such as AWS Sage Maker
• Small or large language model development with retrieval-augmented generation

• Industrial analytics or predictive maintenance
• Knowledge of construction-related industries and market drivers
• Commercial awareness to connect technical development with business impact, budget awareness, and resource management, Strong research capability and the motivation to guide a…