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PhD in Sustainability-Linked Executive Compensation, Business Performance, and Artificial Intelligence Adoption Nottingham Trent University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Funded PhD project for students worldwide. The post indicates a funded doctoral opportunity, but no stipend amount, tuition coverage details, or additional financial terms are specified.
Deadline
Oct 1, 2026
Country
United Kingdom
University
University of Nottingham

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About this position
PhD opportunity at Nottingham Trent University on sustainability-linked executive compensation, business performance, and artificial intelligence adoption.
This funded PhD project at Nottingham Business School, Nottingham Trent University explores how firms link executive pay to ESG targets and whether AI adoption helps translate sustainability-linked incentives into stronger business performance. The project sits at the intersection of corporate governance, management, business performance, ESG, and AI adoption.
The research will likely use quantitative methods with data from publicly listed companies, including executive compensation disclosures, ESG reports, financial performance indicators, and measures of AI adoption. Advanced approaches such as econometrics, machine learning, and text analytics may be used.
Potential research questions include whether sustainability-linked executive compensation improves performance, how AI capability changes that relationship, and whether industry, governance, or institutional factors matter. The project is designed for a candidate interested in interdisciplinary research with strong relevance to academia, boards, investors, regulators, and policymakers.
Supervisors: Professor Tam Nguyen and Associate Professor Yan Wang.
Funding: Funded PhD project for students worldwide. No stipend amount or detailed funding package is stated in the post.
Location: Nottingham, United Kingdom.
How to apply: Register your interest on the FindAPhD project page and complete the enquiry form. The university will respond directly by email.
Deadline: 2026-10-01.
Funding details
Funded PhD project for students worldwide. The post indicates a funded doctoral opportunity, but no stipend amount, tuition coverage details, or additional financial terms are specified.
What's required
Applicants should be interested in quantitative doctoral research on publicly listed companies, executive compensation disclosures, ESG reports, financial performance indicators, and AI adoption. The project may suit candidates with skills or interest in econometrics, machine learning, and text analytics. No specific degree classification, language test, or prior experience is explicitly stated in the post.
How to apply
Register your interest through the FindAPhD page and submit the enquiry form with your details. The university will respond directly by email. Use the project page to start the application interest process.
More information can be found here
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