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PD Desyllas

1 year ago

PhD in Strategy and Entrepreneurship: Data-Driven Analysis of Strategic and Entrepreneurial Dynamics University of Bath in United Kingdom

Degree Level

PhD

Field of study

Machine Learning

Funding

Funded PhD Project (Students Worldwide)

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Bath

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Keywords

Machine Learning
Entrepreneurship
Network Analysis
Natural Language Processing
Business
Organizational Behavior
Corporate Communication
Quantitative Analysis
Business Performance
Microeconomics
Data-driven Modeling
Econometric
Economics
Campaign Strategy
Strategic management

About this position

This PhD project at the University of Bath's School of Management focuses on the intersection of strategy, entrepreneurship, and technology, with a particular emphasis on data-driven analysis. The research aims to deepen our understanding of how organizations navigate uncertainty, create value, and sustain competitive advantage in an increasingly digital world. Candidates are encouraged to propose projects that apply quantitative methods and integrate diverse data sources to investigate strategic and entrepreneurial phenomena. Advanced techniques such as machine learning, natural language processing, network analysis, and econometrics may be used to analyze datasets ranging from firm-level performance indicators to digital footprints and market signals.

A key aspect of the research involves combining databases that capture entrepreneurial activity—such as start-up registries, funding rounds, and innovation metrics—with sources reflecting strategic intent and organizational behaviour, including corporate communications, patent filings, and academic publications. The project is ideal for PhD candidates who are curious about how new ventures grow, signal innovation, and how digital ecosystems shape entrepreneurial success. The successful candidate should have a solid foundation in quantitative analysis or a strong willingness to develop these skills, and must fulfill the entrance requirements for a PhD in the School of Management.

Applicants without an MRes degree will study on the Integrated Management programme. The project welcomes applications from under-represented groups and values a diverse and inclusive research environment. Funding is available through studentships (URSA and GRS), and self-funded or externally funded applicants are also welcome. The application deadline is February 27, 2026, and all PhD students must commence registration and training on September 28, 2026.

For enquiries and to begin the application process, candidates should contact Dr Virgilio Failla at [email protected].

Funding details

Funded PhD Project (Students Worldwide)

What's required

Candidates should have a solid foundation in quantitative analysis or a strong willingness to develop these skills. The ability to work with data, learn computational processes, and engage with analytical tools is essential. Applicants must fulfill the entrance requirements for a PhD in the School of Management at the University of Bath. Those without an MRes degree will study on the Integrated Management programme. No specific GPA or language test requirements are mentioned, but standard university PhD entry criteria apply.

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Professors

Prof at School of Management

University Name
Country flag

United Kingdom

Research Interests

Entrepreneurship

Organizational Behavior

Business Performance

Business

Natural Language Processing

Dr at School of Management

University Name
Country flag

United Kingdom

Research Interests

Organizational Behavior

Microeconomics

Data-driven Modeling

Econometric

Business Performance