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KTP Associate - AI for Occupational Health Automation

Anglia Ruskin University - Faculty of Science & Engineering

Location: Portsmouth
Salary: up to £36,000
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 8th September 2026
Closes: 4th October 2026
Job Ref: 4071
 

This is an exciting opportunity to work full time on a 24-month collaborative partnership between Anglia Ruskin University and Cordell Health Ltd to develop the capability of automated and accurate real-time data insights using Data Science and Artificial Intelligence (AI) to support accurate diagnosis and early interventions.

Candidates must have a current Right to Work in the UK covering the full duration of the project or apply for and have in place a Global Talent Visa in advance of project commencement again, covering the duration of the project. Any pending applications will be reviewed by ARU's HR Immigration Compliance Team prior to interview.

Cordell Health Limited

Cordell Health is a social enterprise delivering high quality, tailored occupational health and wellbeing services to clients across South of England and Wales. It partners with clients to ensure service delivery combining clinical expertise with the latest technology platforms. Its vision is to inspire and enable organisations support the health of their employees, making staff healthier and workplaces more productive. It seeks to support those with disabilities in work, moving the focus from disability to ability and in doing so “levelling the playing field”

The role

This position offers an excellent opportunity to engage in cutting-edge research while working closely with an industry partner to drive innovation and commercial impact. Suited to a candidate with strong operational insight with ideally a Phd in Computer Science, Data Science, Artificial Intelligence, Health Informatics or relevant field. The position will lead a complex project requiring analytical thinking, technical capability and confidence to engage a variety of stakeholders. The successful candidate will demonstrate key competencies in Data Analytics & Machine Learning, Programming Skills, and familiarity with data base design and AI/ML Model Development.

As part of this Knowledge Transfer Partnership, you will benefit from access to expertise and resources from both Anglia Ruskin University and Cordell Health Ltd working at the interface of academia and industry.

This is a rare opportunity to apply your scientific skills in a commercially focused environment, broaden your professional development, and make a tangible impact within a key industry sector.

Although you’ll be employed by ARU, you’ll be based at Cordell Health Limited’s premises in Portsmouth.

Benefits for the Associate

Develop Skills:

  • Work in a cutting edge, industry leading, highly commercial, health-tech sector environment
  • Access to world-leading academics
  • Opportunity to gain further qualifications and certifications
  • Your own £4,000 dedicated training time and a generous training budget

Take the Lead

  • You’ll be the project lead, managing your own workload and ensuring outputs
  • You’ll direct problem-solving activities and your own learning
  • You’ll have creative freedom to suggest changes and develop the project plan

Interact

  • Continuous support from your Academic and Business Supervisors
  • Work with innovative and ambitious staff, including regular contact with key senior management
  • Liaise with current and new Cordell Health Ltd clients and see the real-life impact of your work

KTP programme

Knowledge Transfer Partnerships (KTPs) are unique, three-way collaborations powering innovation. For over 50 years, KTPs have been helping businesses innovate for growth by connecting their innovative ideas with academic expertise to help deliver it. There are over 870 businesses, 100 universities and over 800 graduates involved in KTPs.

For further information: Knowledge Transfer Partnerships (ktp-uk.org)

For enquiries, please email lakshmi.babu-Saheer@aru.ac.uk

Interviews are expected to take place WC 19th October 2026.

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