Bach Nguyen
3 days ago
EPSRC Doctoral Landscape Award
PhD Scholarship in Responsible AI, Entrepreneurship, and SME Growth at the University of Exeter University of Exeter in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Eligible applicants may receive funding through the EPSRC Doctoral Landscape Award, including 3.5 years of PhD training, waived UK tuition fees, an index-linked stipend currently £21,805 per year, and £5,000 in research training support.
Deadline
Dec 8, 2026
Country
United Kingdom
University
University of Exeter
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About this position
PhD scholarship opportunity at the University of Exeter for September 2027 entry in responsible AI, entrepreneurship, and SME growth.
The project, SCALE-Decode: Unlocking Growth Workflows in UK SMEs, is supervised by Bach Nguyen and Lu Liu. It combines entrepreneurship research, AI development, and fieldwork with UK SMEs. The research aims to understand how small businesses organise their work, build an AI system to identify bottlenecks, and recommend practical actions that support sustainable growth.
Funding for eligible applicants is through the EPSRC Doctoral Landscape Award and includes 3.5 years of PhD training, waived UK tuition fees, an index-linked stipend currently £21,805 per year, and £5,000 in research training support.
Eligibility highlights include an MSc in Computer Science or Economics, strong Python programming skills, a good understanding of machine learning, and preferably strong econometrics skills. The post is based at Streatham Campus, Exeter, UK.
Deadline: 12 noon UK time, 8 December 2026.
Interested applicants should review the full details and application instructions, then contact the supervisor for informal project inquiries if needed.
Funding details
Eligible applicants may receive funding through the EPSRC Doctoral Landscape Award, including 3.5 years of PhD training, waived UK tuition fees, an index-linked stipend currently £21,805 per year, and £5,000 in research training support.
What's required
Applicants should have an MSc in Computer Science or Economics. Strong programming skills, particularly Python, and a good understanding of machine learning are required. Strong econometrics skills are highly desirable. The project involves entrepreneurship research, AI development, and fieldwork with UK SMEs.
How to apply
Read the full details and eligibility information, then submit an application using the provided application instructions link. For informal questions about the project, email the supervisor. Apply before 12 noon UK time on 8 December 2026.
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Professors
Professor in Entrepreneurship
United Kingdom
Research Interests
Statistics
Econometrics
Computer Science
Economics
Business
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