Vacancies at University of Reading

By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK Visas and Immigration Website.

We are seeking to appoint an ambitious Associate Professor in Accounting who can show great potential as a researcher with outputs in the top journals in Accounting, and who has an impressive academic research agenda in the area of accounting. The holder of these posts will be involved with teaching in some of the broad areas of Accounting and Management Accounting, with associated responsibilities in administration of modules and students.

The Department of Finance and Accounting comprises two areas: Finance (The ICMA Centre) and Accountancy. The post-holder is expected to provide contributions in Accounting. You will contribute to research, teaching and administration, commensurate with the Associate Professor role.

The appointee is expected to:

• Conduct independent research and demonstrate research leadership in the area of accounting as well as applying for research grants;
• Teach on some modules in the broad area of Accounting in undergraduate and pre-experience master’s programmes as agreed by the Head of Department of Finance and Accounting; ability to teach some of Management Accounting, Financial Accounting and Data Analytics in Accounting be a great advantage.
• Take on administrative duties and academic citizenship activities as well as academic leadership roles as appropriate;

You will have : compulsory

• A PhD in Accounting or Finance or Economics
• Experience with teaching at University level
• Experience with data analytics in Accounting
• Portfolio of research outputs published in top journals in Accounting

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Due to the complexity of the Skilled Worker Visa route and eligibility criteria, applicants requiring sponsorship are recommended to check their eligibility on the Home Office website. We cannot provide advice to candidates at the application stage and will only discuss visa routes with candidates who are invited to interview.

The AI Software Engineer will play a key role in the development of RMD-Health, a machine learning-enabled decision support system designed to improve the early detection and referral of patients with suspected rheumatic and musculoskeletal diseases (RMDs), funded by the National Institute of Health and Care Research (NIHR), Invention for Innovation Product Development Award (NIHR206473). The role will involve leading the design, implementation, and testing of the software and agentic AI prototype to meet clinical, technical, regulatory, and user requirements. The post holder will work closely with a multi-disciplinary team of AI researchers, clinicians, NHS IT specialists, and patient/public representatives。 You will:

• Lead the design, development, and optimisation of the RMD-Health software prototype in line with project objectives.
• Integrate agentic AI components, enabling autonomous task handling for data ingestion, quality assessment, and model-driven decision support.
• Ensure interoperability with NHS Electronic Health Record systems using standards such as FHIR and compliance with DTAC and ISO13485 requirements.
• Work closely with the Machine Learning Engineer to integrate ML models, decision-support functions, and explainable AI features into the software.
• Develop and maintain secure data pipelines to handle anonymised NHS referral and patient data in line with GDPR and NHS IG standards.
• Collaborate with clinicians, patients, and IT specialists to iteratively refine the prototype through workshops, interviews, and pilot testing.
• Support technical documentation for regulatory submissions (UKCA/CE marking as AIaMD).
• Contribute to academic publications, dissemination activities, and presentations at project meetings.
• Work effectively as part of a multi-disciplinary team, delivering high-quality outputs to tight deadlines.