KTP Associate (AI Developer/Data Scientist)

Fixed term for 26 months from start date

At Teesside University, we are ambitious in our goals, vision and aspirations. We challenge expectations and push the boundaries of what is possible. From transforming our campus through a £300m investment and capital development programme, to creating outstanding, innovative academic programmes, our work is always relevant and purpose-driven.

The School of Computing, Engineering and Digital Technologies enjoys an excellent reputation for innovation and our teaching staff combine academic excellence, world class research and industrial experience.  It offers a diverse range of accredited undergraduate and postgraduate programmes as well as degree apprenticeships, all informed by a number of active research projects in these areas.

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 the University, 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 26 month fixed term contract, employed by Teesside University but working at company partner premises day to day. The appointed candidate will have access to a generous training budget tailored towards their professional development, access to industry relevant technology and supervision from a leading academic research team from Teesside University.

The company partner, PSI Global Limited's core business model is the manufacture of aerosol (a mix of oil and air) separators and filters, which are used in compressor and vacuum pumps, and sold to OEM pump manufacturers globally. The role is to work within a project team to develop a virtual engineering design support solution through the application of AI.

This post is subject to funding.

If you are shortlisted, your interview will take place via Microsoft Teams. 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.

Apply now if you would like to join us.

Job Reference: T00956

For further details of this and other posts, please refer to our website by clicking the 'Apply' button above.

Closing date:    Tuesday 23 April 2024

Interview date:  Thursday 16 May 2024