KTP Associate (Software Engineer)

TEESSIDE UNIVERSITY; Preston-on-Tees; On-site; GBP 38,000 - 42,000; Full time

Benefits offered by this job

23 days holiday

Training budget

Job summary

Teesside University, in collaboration with Protex (UK) Systems Limited, invites applications for a Knowledge Transfer Partnership (KTP) Associate. This is a full-time, fixed-term role up to 30 months, with a salary of £38,000 to £42,000 per year.

The position is based at the business partner premises and involves collaboration across university and industry partners. The project will develop an AI-driven digital design capability to automate fire and gas detector placement, coverage validation

Job description

Salary: £38,000, - £42,000

Full time, Fixed term for up to 30 months

This position forms part of the Knowledge Transfer Partnership (KTP) programme which is part funded by Innovate UK. It's essential you understand how KTP works with Business and University partners, and the vital role you will play if you successfully secure a KTP Associate position.

Find out more by Visiting: https://www.ktp-uk.org/. This position is initially for a 30-month fixed term contract.

You will be employed by Teesside University but will be working full-time at the business partner premises day to day. This is in accordance with the KTP working model which ensures full absorption of the Associate into the business and enables successful embedding of knowledge.

The appointed candidate will have 23 days holiday (plus bank holidays) and access to a dedicated training budget tailored towards their personal development. They will have access to industry leading technology and supervision from a leading academic research team from Teesside University. 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. This innovation will create efficiencies by reducing design time, improving accuracy, and enabling faster, more reliable delivery of safety-critical detection systems across energy and industrial sectors

If you are shortlisted, your interview(s) will take place via Microsoft Teams and face to face at the university and company premises.

Please note that the University may ask you to participate in a number of selection activities as part of the recruitment process for this vacancy.

Please be advised that due to the minimum salary thresholds imposed by the UKVI, this post may qualify for university sponsorship under the Skilled Worker visa route.

First Stage Interviews will take place on 26 November 2026

Second Stage Interviews will take place on 9 December 2026