Doctoral Researcher in Sports Economics and Data Analytics
Explore talent dynamics in professional tennis through econometrics and data-driven research under joint supervision.
Best for:Best for economists or data scientists with a master’s in economics/econometrics and expertise in quantitative analysis, performance data, or matching markets.
Overview
This PhD position at the University of Luxembourg focuses on the intersection of sports economics and data analytics, with a specific emphasis on talent development and career progression in professional tennis. The doctoral researcher will conduct original research, contribute to teaching (1–3 hours/week), and collaborate within a multidisciplinary group studying labor economics, econometrics, and applied microeconomics. The project offers access to leading experts and a supportive environment to develop academic and professional skills. Applicants should have a strong quantitative background and a passion for research in performance analytics and market dynamics.
What you'll do
- Conduct original research on talent dynamics and career progression in professional tennis, focusing on data-driven insights.
- Develop and implement econometric models to analyze individual performance and productivity data.
- Prepare and defend a doctoral thesis under joint supervision, potentially with an international partner university.
- Teach undergraduate or graduate courses, including small group tutorials, for 1–3 hours per week.
- Collaborate with a research group specializing in labor economics, econometrics, and applied microeconomics.
- Present research findings at conferences and contribute to academic publications.
- Engage with leading experts in the field through project-related discussions and workshops.
Requirements
Degree required: Master’s Degree in Economics, Econometrics, or a closely related quantitative field (equivalent to a Research Master with honors or higher)
Degree offered: PhD
Language: English; B2-level proficiency in the language of the thesis (details available on the university’s doctoral admissions page)
Instruction: English
- Strong methodological skills in quantitative research and econometrics
- Experience analyzing individual performance or productivity data
- Proficiency in statistical software (e.g., R, Stata, Python, or similar)
- Interest in labor economics, matching markets, or applied microeconomics
- Excellent verbal communication and academic writing skills in English
- Experience with publishing or academic research (preferred but not mandatory)
- No specific nationality or residency restrictions mentioned
- Applicants must demonstrate at least B2-level proficiency in the thesis language (English or another language, depending on the chosen topic)
Funding & terms
How to apply
Applicants must submit their materials online through the university’s HR system. The application package should include a CV, cover letter explaining motivation and alignment with the project, transcripts of all university-level courses, a statement of equivalence for a Master of Science in Quantitative Economics and Finance, at least one letter of recommendation (preferably from the MA/MSc thesis promoter), and a relevant research paper (e.g., a working paper or MA/MSc thesis). Early applications are encouraged as the process is rolling.
- Curriculum Vitae
- Cover letter detailing motivation and alignment with the project
- Transcript of all university-level courses
- Statement of equivalence for a Master of Science in Quantitative Economics and Finance
- At least one letter of recommendation (preferably from the MA/MSc thesis promoter)
- A relevant research paper (e.g., working paper or MA/MSc thesis)
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.