Job Description
This position forms part of the Knowledge Transfer Partnership (KTP) programme which is part funded by Innovate UK.
For the interview, it is essential you understand how KTP works with Business and the University, and the vital role you will play if you successfully secure a KTP Associate position.
To prepare and find out more by Visiting: https://www.ktp-uk.org/.
This KTP aims to develop an AI-enabled model combined with an embedded Large Language Model (LLM) to automate calibration and fault prediction associated with draught beer flow lines and to create a Data as a Service business model through enhanced analytics.
The business partner, Vianet Limited’s core business model is to provide cloud based, telemetric services to the hospitality and unattended retail vending sectors. They combine data from customers’ assets with their smart, cloud-based, Internet of Things (‘IoT’) solution.
You will have access to a dedicated training budget tailored towards your personal development, access to industry leading technology and supervision from a leading academic research team from Teesside University.
This position is initially for a 30-month fixed term contract. You will be employed by Teesside University but will be working at the business partner premises day to day.
Please be advised that due to the minimum salary thresholds imposed by the UKVI, this post will qualify for University sponsorship under the Skilled Worker visa route.If you are shortlisted, the first stage interview will take place via Microsoft Teams on 5 March 2025.
If you are selected for the 2nd stage interview, this will be held in person on 19 March 2025. 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.
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