Associate Professor; Reader
Listed on 2026-07-15
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Business
Data Scientist, AI Business & Operations
Salary starting from £58,225, rising to £73,709. The salary range includes three discretionary points which are only applied for starting salaries in highly exceptional situations.
This opportunity is open to international applicants currently living and working outside the UK for at least the past 24 months in accordance with the funding requirements of the UK Government’s Global Talent Fund Scheme.
We are recruiting across the following four strategic areas:
- Clean Energy Industries: Hydrogen and biogas fuels, energy networks, environmental economics, green finance, ethical supply chains, and behavioural change.
- Digital and Technologies: AI and machine learning, cybersecurity, spatial intelligence, robotics, human‑computer interaction, and digital transformation.
- Life Sciences: Drug discovery, diagnostics, pain research, preventative healthcare, wearable biosensors, and public health surveillance.
- Professional and Business Services: Retail innovation, fintech, smart logistics, digital policy, and inclusive growth.
This is a research‑intensive role with an expectation of significant contributions to research excellence and innovation, and also to teaching within the associated Department.
What we’re looking for- A sustained record of high‑quality research and funding within at least one of the priority areas of digital and technologies, life sciences, or professional and business services.
- Evidence of leadership in innovation and collaboration, and the capability to translate research to deliver real‑world impact.
- Strategic thinking and mentoring capability.
- Engagement with industry, policy, or global networks.
Right to Work in the UK: We do not assess immigration or right to work status until the offer stage. Being invited to interview does not guarantee eligibility for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage.
Anonymous shortlisting: We aim to reduce unconscious bias in assessment. Personal details such as your name may be removed from application forms at the initial shortlisting stage.
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