Publisher
source

University of Nottingham

Just Landed

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 flag

Country

United Kingdom

University

University of Nottingham

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Information Technology
Corporate Governance
Business
Management
Business Performance
Economics
Text Analytics
Strategic management
Econometrics
ML

Suggested positions

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

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?