PhD Studentship: Exploring AI Implications on Employee Experience and Wellbeing: A Longitudinal Study

Research has shown that the application of AI in Human Resource Management (HRM) can streamline processes, enhance decision-making, and improve overall organisational efficiency. However, there is a lack of systematic investigation into the long-term impact of AI on employee experience and wellbeing. Most existing studies focus on short-term outcomes, overlooking the dynamic and evolving nature of employee perceptions and wellbeing over time. This PhD project aims to address this gap by providing a longitudinal perspective on how AI in HRM affects employees' experiences and wellbeing. Building upon existing literature, the research aligns with the growing emphasis on employee wellbeing as a critical factor in organisational success. The study will adopt a longitudinal research design, collecting data in three waves and using instruments developed from validated measures. The ideal candidate will hold undergraduate and postgraduate degrees in work psychology, business studies, or related fields. A strong knowledge of statistical analysis using software such as SPSS, MPlus, Stata or similar is essential, along with experience in conducting surveys. This project offers an excellent opportunity to contribute to an emerging and impactful area of research. Supervisors Primary supervisor: Secondary supervisors

At least a 2:1 honours degree (or ) with a UK master's degree (with an average programme mark of no less than 65%) or . Applicants must meet the minimum English language requirements. Loughborough Business School requires a minimum IELTS band 7.0 or above with not less than 7.0 in each component. Further details are available on the .

The studentship is for 3 years and provides a tax-free stipend of £19,237 per annum for the duration of the studentship plus University tuition fees. How to apply

• Put together your research proposal (between 2,500 to 3,000 words including references). Share your research proposal with the identified supervisor(s) and confirm they are willing to be named in support of your application. You are also encouraged to ask for feedback to develop your research proposal.