PhD Position in Entrepreneurship, AI, and Labor Market Disruption
Explore how AI and automation reshape entrepreneurial transitions and business creation across countries.
Best for:Best for candidates with a Master’s degree in entrepreneurship, social sciences, business, or related fields, with a strong interest in quantitative research and interdisciplinary collaboration.
Overview
This PhD position at the Technical University of Denmark (DTU) focuses on investigating how artificial intelligence and automation influence individuals’ transitions into entrepreneurship, particularly those starting businesses after unemployment. The project, funded by the Swiss National Science Foundation (SNSF), involves an international team of researchers from DTU, EPFL, and Northeastern University. The successful candidate will conduct interdisciplinary research using large-scale surveys, administrative registry data, and qualitative interviews across Denmark, Switzerland, and Greece. The role offers a unique opportunity to contribute to cutting-edge entrepreneurship research, develop quantitative and qualitative research skills, and collaborate with leading scholars in the field.
What you'll do
- Develop research questions and theoretical frameworks on entrepreneurship, human capital, AI, and labor market transitions.
- Apply quantitative and qualitative research methods to analyze entrepreneurial transitions and business outcomes.
- Collect, manage, and analyze large-scale survey data and Danish administrative registry data.
- Collaborate with international partners to design and implement surveys and qualitative interviews.
- Prepare research papers for submission to leading international academic journals.
- Present research findings at international conferences and engage with policymakers and stakeholders.
- Work independently and collaboratively in an international research environment.
Requirements
Degree required: Master’s degree in entrepreneurship, social sciences, business, or a related field
Degree offered: PhD
Language: English; excellent written and spoken proficiency required
Instruction: English
- Strong interest in developing quantitative research and analytical skills
- Excellent written and spoken English communication skills
- Ability to work independently and collaboratively in an international research environment
- Experience with quantitative data analysis (e.g., statistical software, survey tools)
- No explicit nationality or residency restrictions mentioned
- No age or prior experience caps specified
Funding & terms
How to apply
Deadline: 2026-11-08
Applicants must read the full job advertisement and apply through the provided external link. The application process involves submitting relevant documents directly via the DTU application portal.
- CV
- Cover letter
- Master’s degree certificate and transcripts
- Proof of English proficiency (if applicable)
- Two letters of recommendation
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