PhD researcher. Emerging Demands and Innovative Practices in the Use of AI for Higher Education and Science

Constructor Knowledge Labs

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Bremen, Germany Until 8/22/2026 First posted May 21, 2026 Last posted May 21, 2026
Job description

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 https://www.linkedin.com/in/isak-frumin-337780b1/.

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 https://job-boards.eu.greenhouse.io/constructorknowledgelabs

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

About this role

Summary

Conduct research on AI's impact on higher education and science practices in an international university setting.

Job title

PhD researcher

Experience level

master's degree

Industry

education

Location requirements

Bremen, Germany; remote work not specified

Salary

Not specified

Management role

No

Skills & keywords

Required skills

researchquantitative analysisqualitative analysisacademic English writing

Preferred skills

AI applicationsdata collectiondata analysisvisualizationGerman language

Specializations

AIhigher educationscience industryresearch methods
Locations

Structured locations inferred from the posting.

28 Bremen, Germany

Work arrangement unknown City