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PhD position: Emerging Demands and Innovative Practices in the Use of AI for Higher Education and Science(m/w/x)
Researching emerging AI demands and innovative practices in higher education and science. Master's in social science or data field, hands-on research experience, and German proficiency essential. Monthly tax-free stipend, research-cost allowance, health-insurance subsidy.
Requirements
- 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
- Demonstrated interest in technology applications in education/research, data analysis, or institutional transformation
- Hands-on research experience in qualitative methods, case studies, or data-intensive projects
- Some level of proficiency in German (speaking/writing)
- Skills in data analysis including code-based (e.g., Python, R, or Stata)
Tasks
- Engage in high-impact research projects
- Collaborate with leading experts
- Contribute to publications and policy-relevant outputs
- Monitor cross-country demand and innovative practices
- Provide regular updates on emerging developments
- Examine how institutions adapt educational practices to AI
- Identify early adopters and innovators of AI tools
- Explore new best practices and tools in science and education
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- German – Basic
Tools & Technologies
- Python
- R
- Stata
Benefits
Additional Allowances
- Monthly tax-free stipend
- Research-cost allowance
Healthcare & Fitness
- Health-insurance subsidy
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PhD position: Emerging Demands and Innovative Practices in the Use of AI for Higher Education and Science(m/w/x)
Researching emerging AI demands and innovative practices in higher education and science. Master's in social science or data field, hands-on research experience, and German proficiency essential. Monthly tax-free stipend, research-cost allowance, health-insurance subsidy.
Requirements
- 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
- Demonstrated interest in technology applications in education/research, data analysis, or institutional transformation
- Hands-on research experience in qualitative methods, case studies, or data-intensive projects
- Some level of proficiency in German (speaking/writing)
- Skills in data analysis including code-based (e.g., Python, R, or Stata)
Tasks
- Engage in high-impact research projects
- Collaborate with leading experts
- Contribute to publications and policy-relevant outputs
- Monitor cross-country demand and innovative practices
- Provide regular updates on emerging developments
- Examine how institutions adapt educational practices to AI
- Identify early adopters and innovators of AI tools
- Explore new best practices and tools in science and education
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- German – Basic
Tools & Technologies
- Python
- R
- Stata
Benefits
Additional Allowances
- Monthly tax-free stipend
- Research-cost allowance
Healthcare & Fitness
- Health-insurance subsidy
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Constructor University Bremen gGmbH
Industry
Education
Description
Constructor University is committed to academic freedom and diversity, offering equal opportunities to all qualified applicants.
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