PhD: AI-Driven Entrepreneurship & Labor Market Transitions

DTU - Technical University of Denmark; Kongens Lyngby; On-site; DKK 400,000 - 460,000; Full time

Benefits offered by this job

PhD stipend

International research environment

Job summary

DTU Entrepreneurship at DTU, the Technical University of Denmark, invites applications for a PhD scholarship focused on entrepreneurship, human capital, AI, and labor market transitions. The PhD candidate will work within an international project, develop research questions, and contribute to surveys, Danish registry data, and dissemination to policymakers.

The successful candidate will hold a two-year master’s degree or equivalent, have strong quantitative research skills, and fluency in

Qualifications

• Strong interest in developing quantitative research and analytical skills.
• Excellent written and spoken English.
• Ability to work independently and in international teams.

Responsibilities

• Conduct high-quality research within the international project.
• Develop research questions and theoretical frameworks on entrepreneurship and AI.
• Apply quantitative and qualitative methods to study entrepreneurial transitions.
• Collect, manage, and analyze quantitative data including large-scale surveys and registry data.
• Design and implement surveys and interviews with international partners.
• Prepare papers for leading international journals and present findings at conferences.

Skills

Quantitative research

English communication

Independent & collaborative work

Large-scale datasets

Stata

R

Education

Master's degree

Tools

Stata

R

Job description

DTU Entrepreneurship at DTU, the Technical University of Denmark, invites applications for a PhD scholarship focused on entrepreneurship, human capital, AI, and labor market transitions. The PhD candidate will work within an international project, develop research questions, and contribute to surveys, Danish registry data, and dissemination to policymakers.

The successful candidate will hold a two-year master’s degree or equivalent, have strong quantitative research skills, and fluency in