AI-Driven KTP Associate: Fire & Gas Detector Design

Tees Valley

Tees Valley

À distance

GBP 32 000 - 36 000

Plein temps

Il y a 7 heures
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Avantages offerts par ce poste

23 days holiday (plus bank holidays)
Dedicated training budget

Résumé du poste

Teesside University is recruiting a Knowledge Transfer Partnership Associate to work full-time at Protex (UK) Systems Limited on a closer AI-driven digital design capability for fire and gas detection systems.

The role embeds you within a business-academic partnership, with a dedicated training budget and 23 days of holiday, supporting the design, validation, and cost estimation processes across complex industrial environments.

Qualifications

  • This position forms part of the Knowledge Transfer Partnership (KTP) programme which is part funded by Innovate UK.
  • The appointed candidate will have 23 days holiday (plus bank holidays) and access to a dedicated training budget tailored towards their personal development.
  • The business partner, Protex (UK) Systems Limited is an engineering and safety-systems company specialising in fire and gas detection systems, based at Wellington House, Wellington Court, Preston Farm Business Park, Stockton on Tees, TS18 3TA.
  • This KTP aims to develop an AI-driven digital design capability that automates fire and gas detector placement, coverage validation, and cost estimation within complex industrial environments.

Responsabilités

  • Interviews may be conducted via Microsoft Teams and at university and company premises.
  • Shortlisted candidates will be assessed through selection activities as part of the recruitment process.

Description du poste

Teesside University is recruiting a Knowledge Transfer Partnership Associate to work full-time at Protex (UK) Systems Limited on a closer AI-driven digital design capability for fire and gas detection systems.

The role embeds you within a business-academic partnership, with a dedicated training budget and 23 days of holiday, supporting the design, validation, and cost estimation processes across complex industrial environments.

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