The FernUniversität in Hagen, Germany’s only state distance-learning university, catering to over 72,000 students, providing flexible and accessible higher education opportunities to students in diverse life situations. The university conducts extensive theoretical and applied research across its five faculties, its central research unit CATALPA, and interdisciplinary research clusters.
At CATALPA, over 60 researchers collaborate to support personalized learning using AI and adaptive systems and to understand the diversity of learners and teachers as a natural part of teaching.
To expand the team, CATALPA is now filling the position of a
Your Tasks:
- Design, develop and implement research software infrastructures and educational technology prototypes
- Design and develop infrastructures for research data collection, aggregation, maintenance and research data management
- Design and develop scalable data solutions for education and integration of machine learning and educational data mining approaches
- Link to existing work in learning analytics, educational data mining, multi-modal analytics, as well as computational psychometrics and data science.
- Design and develop solution for personal learner modelling and intelligent tutoring environments based on interactive workbooks (for example Jupyter notebooks) and logging of learner activities
- Design and develop infrastructures for personalized and group experiment in tutoring and personalized learning
- Advising and engaging PhD candidates
Your Profile:
- Master degree and PhD in Data Science, Computer Science or comparable
- Strong background in Data Science and Computational Data Analysis
- Strong background in machine learning and educational data mining
- Experience in Learning Technology, Technology-Based Assessment, Learning Analytics
- Ideally a strong respective publication record
- Ability to conduct highly visible and high-impact research and to contribute to acquisition of external projects
- Ability to supervise Master Thesis and PhD candidates with support for research software development
What we offer:
The position is an excellent opportunity for researchers passionate about using technology to enhance learning and education. Candidates should be prepared to work in a multidisciplinary, innovative, dynamic environment and contribute to ongoing research projects that will be invaluable in educational practice. CATALPA offers an interdisciplinary working environment with a well-developed research infrastructure, intensive supervision, regular colloquia, and a diverse array of research-related training opportunities. We strive to offer a good work-life balance, remote work possibilities (working from home), and a wide range of occupational health and wellness programs.
For any questions, please reach out to:
Herr Univ.-Prof. Dr. Marcus Specht
Tel.: 02331 987-4930
E-Mail: marcus.specht@fernuni-hagen.de
Please submit your application (in English or German) by 14.08.2025 via our online portal.
For more information about CATALPA please visit our website: https://fernuni.de/catalpa-en or contact Prof. Dr. Marcus Specht: marcus.specht@fernuni-hagen.de
We are committed to equal opportunities:
The FernUniversität in Hagen is committed to increasing the proportion of women in research and teaching. Qualified female applicants are strongly encouraged to apply. In cases of equal qualifications, skills, and professional achievements, preference will be given to female candidates, unless there are compelling reasons for preferring an outstanding male candidate.
Candidates with disabilities are also encouraged to apply.
FernUniversität in Hagen
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Universitätsstraße 47
58097 Hagen
