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Aston University; Brighton; Hybrid; GBP 36,000 - 48,000; Full time

Benefits offered by this job

Disability Confident employer scheme

Job summary

A Knowledge Transfer Partnership Associate role at Aston University focuses on developing an AI-driven predictive and prescriptive maintenance system for Genie UK Limited. The project spans connected, partially connected, and non-connected machines, transforming telematics, sensor data and historical maintenance data into actionable insights within Genie’s LiftConnect platform.

You will develop data-quality agents and predictive models transferable across machine families, deliver prescriptive

Responsibilities

• Develop intelligent data-quality agents for diverse machine families.
• Build predictive models that transfer across machine families.
• Develop prescriptive decision support and operational dashboards.
• Deliver methodologies, documentation, training and workshops to integrate the solution into Genie’s business.

Job description

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 LiftConnect 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.

Company: Aston University Salary: from £42,000 a year Hours: Full-time Location: NG31 6BH Working pattern: Hybrid - 1 day remote Job type: Temporary Posting date: 25 Sept 2026 Closing date: 11 Oct 2026

Summary

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 LiftConnect 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.

Proud member of the Disability Confident employer scheme

About Disability Confident Disability Confident is a government scheme. It encourages employers to recruit and retain disabled people and those with long term health conditions.