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

Reposted 6 Days Ago
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Bremen, DEU
In-Office
Entry level
Information Technology
The Role
The position involves researching AI's impact on higher education and science, focusing on best practices and early adopters. It includes collaboration, engaging in applied research, and contributing to publications.
Summary Generated by Built In

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: September 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.

Skills Required

  • Master's degree in a social science discipline or related field
  • Strong analytical, research, and writing skills
  • Hands-on research experience evidenced through publications or thesis work
  • Excellent academic English writing skills
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The Company
Year Founded: 2024

What We Do

Constructor Knowledge Labs (CKL) is a research institute based in Bremen, Germany, dedicated to advancing applied research in Computer Science, Software Engineering, Machine Learning, and Artificial Intelligence across interdisciplinary domains.

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