PhD researcher (m/f/d): Emerging Demands and Innovative Practices in the Use of AI for Higher Educat

Constructor University (formerly Jacobs University) is a private, state-accredited, English-language university in Bremen. We offer Bachelor, Master, and PhD programs in three schools: School of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and transdisciplinary cooperation. According to the 2024 Times Higher Education (THE) World University Rankings, Constructor University is among the top 25 percent out of more than 1900 universities worldwide and is ranked as the second most international university in the world. As an international university, we attract highly talented and open-minded students from all over the world. Currently, over 1,600 students from 110 nations live and study on our residential campus.

About the Position

Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applications for a PhD position in the field “Information Systems and Management” within the research group of Professor Isak Frumin.

The position focuses on the transformation of higher education and the science industry in the era of artificial intelligence. It offers an opportunity to engage in high-impact applied research, collaborate with leading experts, and contribute to publications and policy-relevant outputs.

The project includes cross-country monitoring (through an expert network and dedicated research) of demand and innovative practices, providing regular updates on emerging developments.

The research will examine how universities and research institutions are adapting their educational and research practices in response to AI technologies. Key questions include:

• What new best practices of the use AI are emerging, and in which areas of science and higher education do they appear most rapidly?

• Which universities, groups, and individuals act as early adopters and innovators in the use of AI tools?

Funding

The project is funded by a stipend from Constructor Technology in accordance with German regulations, with the possibility of an additional mini-job, research cost allowance and a health insurance subsidy

Constructor University Bremen actively supports candidates in preparing applications for external funding — doctoral scholarships, foundations, or international mobility grants — and can provide institutional support and references

Location: Bremen, Germany

Start date: fall 2026

Mandatory requirements:

• Master’s degree in sociology, economics, political science, higher education studies, public policy, science and technology studies, data science or a related social science discipline.

• Strong analytical, research, and writing skills; experience with quantitative and qualitative research and case studies is a plus.

• Hands-on research experience, evidenced through publications, thesis work, or open-source contributions.

• Excellent academic English writing skills, demonstrated through peer-reviewed papers, reports, or equivalent outputs.

Preferred qualifications:

• Demonstrated interest in AI applications in higher education and research governance.

• Skills and experience in data collection, analysis, visualization

• Some proficiency in German (speaking or writing) is desirable but not mandatory

• Applications from PhD students currently based in EU are particularly encouraged

Application package must include: 

• Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project

• CV (including publications or research projects)

• Master's degree certificate and transcripts

• Contact information for 2–3 possible academic referees

• English proficiency certificate (if applicable)

• Optional: sample of research writing (e.g., thesis, policy report, or publication)

Applications should be submitted through Constructor Knowledge Labs here.

Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.