Doctoral Researcher in Entrepreneurship
Quantitative PhD position in entrepreneurship and innovation at a leading European research university.
Best for:Best for candidates with a Master’s in business, economics, finance, or related fields and strong quantitative research experience in statistics, econometrics, or data science.
Overview
This doctoral position at the University of Luxembourg offers an opportunity to conduct independent research in entrepreneurship, focusing on areas such as sustainable entrepreneurship, entrepreneurial finance, and AI-driven innovation. The successful candidate will join the Entrepreneurship, Innovation, and New Technology (EINT) research group, led by Prof. Christian Fisch, and contribute to interdisciplinary projects using large-scale data and quantitative methods. The role emphasizes developing original research questions, empirical analysis, and publishing in top journals. Applicants must demonstrate strong quantitative skills and prior experience in empirical research, particularly with statistical software like Stata, R, or Python. The position is ideal for those passionate about entrepreneurship and innovation with a methodological background.
What you'll do
- Developing original, theoretically grounded research questions aligned with entrepreneurship and innovation.
- Identifying and constructing empirical datasets for quantitative analysis.
- Conducting reproducible research workflows using statistical programming (e.g., R, Python, Stata).
- Developing research projects from conceptualization to manuscript preparation, revision, and submission.
- Presenting research findings at leading international conferences and networking within the entrepreneurship community.
- Completing the Doctoral School training program in Economics, Finance, and Management.
Requirements
Degree required: Completed or nearly completed Master’s degree in management, business administration, economics, finance, or a related field. Exceptional candidates with a Master’s in computer science, data science, or a closely related technical field may also apply if they demonstrate a strong interest in entrepreneurship research.
Degree offered: PhD
Language: English; C1 proficiency (excellent command)
Instruction: English
- Advanced training in empirical research methods, statistics, or econometrics.
- Practical experience with statistical software (Stata, R, or Python).
- Strong quantitative preparation and empirical research experience.
- Proactive and independent research mindset with excellent communication skills.
- Excellent command of English (C1 level).
- Applicants must demonstrate at least B2-level proficiency in the language of their thesis (if not English).
- No explicit nationality or residency restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-10-20
Applicants must submit their application online through the University of Luxembourg’s HR system. The application should include a CV, cover letter explaining motivation and alignment with the research focus, transcripts of university-level courses, and a Master’s thesis or comparable independent written work. Early applications are encouraged as processing occurs upon reception. Email applications will not be considered.
- CV
- Cover letter
- Transcript of all university-level courses
- Master’s thesis or draft of independent written work
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