KTP Associate in AI- Powered Optometric Decision Support School of Computer Sci. & Digital Tech in Nottingham

As the key driver of this Knowledge Transfer Partnership (KTP) the successful applicant will design, develop and validate a new sector leading AI decision support system - embedded within real-world optometric workflows at Boots Opticians. The system will redistribute routine triage, documentation, and administrative tasks from clinicians to validated AI-assisted workflows.

This is an exciting opportunity to make a significant contribution to Boots Opticians by improving the accuracy and consistency of triage, enabling patients to spend the appropriate amount of time with their Optometrist based on their clinical requirements. Please read the job description to find out more about what your role will entail.

What you will gain:

• The opportunity to lead a strategically important business project, gain hands-on experience of working in a multi-disciplinary team, work at the interface between world-leading academic research and commercial innovation, and deliver real impact.
• Work closely with world-leading researchers in Clinical Vision Science and Artificial Intelligence at Aston University to transfer state-of-the-art research knowledge into a leading UK business
• Professional mentoring from both academic and business supervisors as well as Innovate UK experts.
• Access a personal development budget of £2,000 a year to build further skills relevant to your future career

To deliver this project successfully, we are seeking an associate with a strong blend of technical expertise and professional attributes tailored to the unique challenges of scaling explainable AI-enabled triage within a clinical retail setting. You will work closely with senior University academics and company leaders on a commercial project, applying the latest research to achieve both commercial impact and positive healthcare outcomes., Anonymous shortlisting will be carried out for this role as part of Aston University's commitment to equality and diversity and ensuring a fair and consistent approach to recruitment. Personal details that are included on application forms, including the candidate's name and address will not be disclosed to the shortlisting panel. CVs will not be considered as part of the shortlisting process.

The University celebrates the rights of freedom of speech and academic freedom and is committed to maintaining and protecting these rights within the law. An offer to work at Aston University will never be denied on the basis of an individual's lawful expression of their beliefs, ideas or opinions.

Aston University is an equal opportunities employer and welcomes applications from all sections of the community. It promotes equality and diversity in all aspects of its work. We strive to have robust inclusivity strategies in place, to encourage colleagues to have the confidence and freedom to be themselves in the workplace. For more information, visit: https://www2.aston.ac.uk/about/inclusive-aston

Guidance on AI‑Assisted Applications

While we cannot prevent applicants from using AI tools to support their application, we ask that all submissions reflect your own experience, achievements, and motivations. We want to understand what you personally bring to the role, so please ensure your application represents your own voice and capabilities.

• Postgraduate degree (MSc) in computer science, AI, or similar.
• Demonstrable competence in machine learning, medical image or signal analysis, data engineering, and healthcare data governance.
• Adept at developing/validating AI algorithms, and adhering to regulatory and privacy standards.

Desirable

• PhD in Computer Science, AI or similar.
• Prior work on explainable AI solutions, human‑computer interface design (healthcare), or integrating automated systems into clinical workflows.
• Knowledge of Electronic Health Records and their regulatory governance
• Usability testing, bias auditing, and familiarity with data protection requirements in healthcare (such as DPIA processes).
• Experience in applying machine learning or AI to at least two different data modalities (e.g., medical imaging, clinical text, structured/tabular healthcare data, or time‑series data), with an interest in developing multimodal AI systems for clinical decision support.
• Project management aptitude, effective communication with multi‑disciplinary stakeholders, creative problem‑solving, and ability to adapt to evolving project needs.
• A collaborative mindset is key, given the need for translational thinking and co‑development with both academic and business partners.
• Able to articulate business problems, logical solutions and impactful outcomes
• Team player who works productively across locations and disciplines.
• Proactive learner who makes the most of development opportunities.

KTP Associates lead strategic projects, bridging the academic and business worlds, which can enhance and fast‑track their career. You will benefit from expert coaching and mentoring and over 60% of KTP associates are offered employment by their host companies at the end of the KTP.

This is a Knowledge Transfer Partnership (KTP) funded by Boots Opticians Professional Services Ltd and Innovate UK. KTPs are collaborative, three‑way partnerships creating positive impact and driving innovation by linking businesses with the UK's world class knowledge bases to deliver innovation projects led by skilled graduates. It is essential you understand how KTP works and the vital role you will play if you secure this position. To learn more please visit: www.aston.ac.uk/ktp

Aston University: You will work in a project team with Prof Leon Davies (Optometry) and Dr Hassan Aqeel Khan (Computer Science) from Aston University and Senior Team members at Boots Opticians Professional Services with further support from an Innovate UK Knowledge Transfer Adviser.

The Business Partner: Boots Opticians is a leading UK optical retailer and healthcare provider operating over 500 optical practices nationwide. It offers NHS and private eye tests, aftercare and a wide range of clinical eye health services in addition to its retail sales of spectacles, sunglasses, contact lenses, and other eye‑health related products. It prides itself on providing expert guidance and customer service for all things eye‑health related and is part of the Boots group of companies- the UK's largest health and beauty retailer.

• £2000 per annum (total £5k for the duration of the project) for personal and professional development for the duration of the project
• Annual leave (25 days p/a)
• Professional support and mentorship
• Mental Health and wellbeing support: https://www.aston.ac.uk/staff-public/hr/Benefits-and-Rewards/health-wellbeing

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