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KTP Associate -Assistive Technology Data Scientist

UWE, Bristol - Service Robotics Ltd, Gloucestershire Science & Technology Park, Berkeley

Location: Berkeley, Gloucestershire, Hybrid
Salary: £34,000 to £39,000 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 7th March 2025
Closes: 6th April 2025
Job Ref: R07515

This is an exciting opportunity to work in a collaborative partnership between the University of the West of England (UWE) and Service Robotics Limited (SRL) under the UK Government sponsored Knowledge Transfer Partnership (KTP) programme. The position is a 24-month fixed term contract, which includes business skills training provided by the national KTP programme and a further £2k per annum dedicated training budget tailored towards your personal development.

Service Robotics was set up in 2017 to develop technology-based services that harness the benefits of the robotics revolution to ease the burden of care and to help improve the lives of the British public. With a passion for providing accessible, inclusive and people-centred care for those who need it, Service Robotics have developed care services based on GenieConnect®, a companion robot which uses advanced technology to enhance the support provided to people in social care.

With specialist support from the College of Arts, Technology and Engineering academic team and the College of Health, Science and Society at UWE Bristol, you will lead on a 24-month project where you will evolve and extend the capabilities of SRL’s GenieConnect® robot companion technology, to incorporate proactive AI-led personalised services and care, automated recommendations, and anomaly detection. The project aims to improve efficiency of social care delivery, reduce demand on carers, reduce digital exclusion and improve care outcomes.

UWE Bristol and Service Robotics celebrate diversity and seek talented people from all backgrounds to join us.

About you

  • You have a background in (or very familiar with) AI, ML, Deep Learning (DL) and Large Language Model (LLM)
  • Programming skills and experience working with some DL platform/libraries, e.g., PyTorch TensorFlow, Keras, or similar
  • You can interpret complex data sets
  • Able to think logically and develop creative approaches to problem solving
  • Communicate effectively and work well within a team

Associate Qualifications required: Master’s in computer science, Computer/Electrical Engineering, or similar

Where is this role based?

Service Robotics Ltd, Gloucestershire Science & Technology Park, Berkeley (Hybrid Remote)

Further information

If you would like to speak to us to find out more about this role and project please contact Djamel Djenouri email: djenouri@uwe.ac.uk

This is a full-time, fixed-term post for 24 months.

Right to Work in the UK

The University has a legal responsibility to ensure that all employees are eligible to live and work in the UK. You will therefore be required to provide evidence of your right to work in the UK, please refer to the Home Office Right to Work Checklist for information on which documents are acceptable.

 We may be able to endorse international candidates without current right to work in the UK to obtain a Global Talent Visa (Endorsed Funder route) to take up this post.

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