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University Of Strathclyde

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PhD Studentship: Green vs. Non-Green Innovation – The Role of Regulatory Policies and Market Dynamics University of Strathclyde in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

United Kingdom

University

University Of Strathclyde

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Keywords

Computer Science
Environmental Science
Mathematics
Finance
Statistical Analysis
Mathematical Modeling
Regulation
Business
Quantitative Analysis
Environmental Policy
Environmental Sustainability
Economic Growth
Climate Policy
Eco-innovation
Market Dynamics
Economics
Statistics

About this position

[A fully funded scholarship for three years covers all university tuition fees (at the UK/home rate) and provides an annual tax-free stipend at the UKRI rate. International students may receive additional funding to cover the difference between home and international fees.]

The University of Strathclyde invites applications for a fully funded PhD studentship focused on the interplay between green and non-green innovation, regulatory policies, and market dynamics. This research project aims to understand how climate policies and financial constraints shape firms’ innovation strategies, particularly their choices between environmentally friendly (green) and traditional (non-green) innovation. The project will employ theoretical models and firm-level data to assess whether environmental policies stimulate or hinder technological progress, providing valuable insights for both academia and policymakers.

The successful candidate will join the Department of Accounting and Finance, benefiting from a vibrant research environment, access to advanced methodological training, and opportunities to participate in workshops, seminars, and conferences. The department’s strong industry connections and extensive alumni network will provide practical experience and industry insights throughout the PhD journey.

This studentship is fully funded for three years, covering all university tuition fees at the UK/home rate and providing an annual tax-free stipend at the UKRI rate. International students are eligible and may receive additional funding to cover the difference between home and international fees. The project is open to candidates from a range of quantitative disciplines, including mathematics, statistics, computer science, economics, and related fields. Applicants should have a minimum of a 2:1 Bachelor’s degree (or equivalent) and demonstrate a strong quantitative background, particularly in mathematical modelling, statistical analysis, or computational methods. While a business background is not required, a clear interest in finance or economics is essential.

Supervision will be provided by Dr Hai Zhang and Dr Sheng Li, who will offer guidance on both methodological and empirical aspects of the research. The student will have access to departmental resources, advanced training, and support for attending conferences, especially in the later years of the PhD. The start date for the studentship is 1 October 2026, and the application deadline is 30 April 2026. Shortlisted candidates will be invited for interview as part of the selection process.

For further details and to apply, please visit the official project page. This is an excellent opportunity for quantitatively skilled graduates interested in the intersection of innovation, sustainability, and policy to contribute to impactful research at a leading UK institution.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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