Constructor University Bremen gGmbH, in collaboration with the Constructor Knowledge Lab, is offering a PhD position focused on Higher Education Innovations. This opportunity is supervised by Professor Isak Frumin and is based within the School of Science in Bremen, Germany. The research aims to explore how universities worldwide are responding to global social, technological, and economic changes by developing innovative institutional models, governance structures, and teaching practices. The project provides a unique platform for comparative research, international collaboration, and contribution to publications and knowledge-exchange projects on institutional innovation and strategic management in higher education. Research topics may include emerging models of innovative universities, governance forms, institutional reform, interdisciplinarity, new models of research collaboration, strategies for university transformation in knowledge-intensive and technology-driven environments, international comparisons of higher education innovations, knowledge management, organizational learning, university-industry collaboration, and digital ecosystems. The research combines organizational theory, information systems, and higher education studies, allowing candidates to address both theoretical and applied aspects of institutional innovation. The position is ideal for those interested in organizational transformation, technology adoption, and data analytics within educational or research contexts. Applicants must have a Master’s degree (or equivalent) in information systems, management, economics, sociology, political science, or higher education studies. Strong analytical and academic writing skills in English are required, demonstrated through thesis or publications. Research experience using qualitative, quantitative, or mixed methods is essential. Preferred qualifications include a background in data-driven analysis, management science, or organizational research, and some proficiency in German is desirable but not mandatory. This is a self-funded PhD position. Constructor University subsidizes administrative fees for accepted candidates and provides access to its research infrastructure, office space, and supervision network. The university actively supports candidates in preparing applications for external funding, such as doctoral scholarships, foundations, or international mobility grants, and can provide institutional support and references for such applications. The starting date is Fall 2026. Applications are reviewed on a rolling basis, and shortlisted candidates will be invited for interviews. Required documents include a cover letter explaining motivation and research interests, CV, Master’s degree certificate and transcripts, contact information for 2–3 academic referees, and an English proficiency certificate if applicable. An optional sample of research writing (e.g., thesis or publication) may also be submitted. For further information and to apply, visit the official job board link. The position is located at Constructor University Bremen gGmbH, Campus Ring 1, 28759 Bremen, Germany.

Constructor University Bremen, in partnership with Constructor Knowledge Labs and Constructor Technology, is offering a PhD position focused on the transformation of higher education and the science industry in the era of artificial intelligence. This opportunity is supervised by Professor Isak Frumin and is situated within the Observatory of Higher Education Innovations, a research group dedicated to monitoring and analyzing emerging demands and innovative practices in academia. The research project aims to investigate how universities and research institutions are adapting their educational and research practices in response to AI technologies. Key questions include identifying early adopters and innovators in the use of AI tools, understanding new best practices and tools, and mapping the areas of science and education where these innovations are most rapidly emerging. The project involves cross-country monitoring through an expert network and dedicated research, providing regular updates on developments in the field. The successful candidate will gain expertise in data-intensive higher education studies, the science of science, and the social impacts of AI. They will collaborate with internationally recognized experts in institutional analysis and higher education strategy, contributing to publications and policy-relevant outputs. The position is part-time (38.5 hours per week) and offers a monthly tax-free stipend, with possibilities for research-cost allowance and health-insurance subsidy. Applicants must hold a Master's degree (or equivalent) in sociology, economics, political science, higher education studies, science and technology studies, data science/engineering, or computational social science. Strong analytical, research, and academic writing skills in English are required, evidenced by a Master's thesis, peer-reviewed publications, or equivalent research outputs. Demonstrated interest in technology applications in education/research, data analysis, or institutional transformation is expected, as shown through coursework, projects, or prior work. Hands-on research experience in qualitative methods, case studies, or data-intensive projects is necessary. Preferred qualifications include some proficiency in German (speaking/writing) and skills in code-based data analysis (e.g., Python, R, or Stata). The application package must include a cover letter (1-2 pages) explaining fit with the project and qualifications, CV with publications/projects listed, Master's degree certificate/transcripts, contact details for 2-3 academic references, and evidence of English proficiency (if non-native, e.g., TOEFL/IELTS, experience). Optional materials include examples demonstrating analytical, research, and writing skills (e.g., publications, thesis, or other research outputs). Applications are reviewed on a rolling basis, and shortlisted candidates will be invited to interviews. The preferred starting date is before April 2026. For further information and to apply, visit the Greenhouse job board or the university's research page. The position is based in Bremen, Germany, at Constructor University Bremen.