KTP Associate (Computer Scientist)

TEESSIDE UNIVERSITY, Newtown, Stockton-on-Tees

KTP Associate (Computer Scientist)

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TEESSIDE UNIVERSITY, Newtown, Stockton-on-Tees

  • Full time
  • Temporary
  • Remote working

Posted 1 week ago, 23 Jan | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: 2798e5ea2d1e4a31b8a2fc84afd48f21

Full Job Description

KTP Associate (Computer Scientist)



CAPTION: Job details




  • Posting date: 22 January 2025

  • Salary: £39,000 to £42,000 per year

  • Hours: Full time

  • Closing date: 16 February 2025

  • Location: Stockton-On-Tees, County Durham

  • Remote working: On-site only

  • Company: Teesside University

  • Job type: Temporary

  • Job reference: T01625



Summary



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.



Proud member of the Disability Confident employer scheme



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About Disability Confident



A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.



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Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.

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.

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