Research Associate (m/f/x)

Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.

Institution Faculty of Psychology and Educational Sciences - The Chair of Education and Educatonal Psychology Remuneration group TV-L E13 Full-time / Part-time Part-time (75%) Start date As soon as possible, 3 years

About us:

The DFG-funded Collaborative Research Centre SHARP ‘Simulation-based learning in higher education:
Advancing research on process diagnostics and personalised interventions’ contributes to theorybuilding on personalising learning using simulations in higher education. As a joint research context, SHARP focuses on diagnosing and intervening as two highly relevant professional practices in many academic professions. The subproject B02 ‘Personalised fostering of collaborative intervention skills in medicine, explores conditions for effective advancement of collaborative intervention skills in simulation-based medical education and is currently looking for a doctoral researcher. The position is located at the Department of Psychology, Chair of Education and Educational Psychology (Prof. F. Fischer), in collaboration with the Department of Medicine IV, LMU University Hospital (Prof. R. Schmidmaier), and the School of Social Sciences and Technology, TUM (Prof. M. Bannert). You can find an overview of all sub-projects and open positions here .

We are looking for you:

Research Associate (m/f/x)

in München

Your tasks and responsibilities:

• planning, preparing and conducting empirical, studies on collaborative intervention skills
• analysing data
• contributing to scientific publications.

Your qualifications:

• You have a very good Master´s degree in the field of psychology, educational or learning sciences.
• You are interested in medical education, interdisciplinary collaboration and working in research teams.
• You have very good knowledge of social science research methods and statistics.
• You have experiences in planning and conducting empirical studies and data management.
• Experiences with learning process analyses would be an advantage.
• You have very good written and spoken English skills.

Benefits:

• We offer the opportunity to gain further academic qualifications, particularly to obtain a doctorate in educational psychology, educational research or learning sciences.
• Contributing to the CRC SHARP, you will become part of an interdisciplinary group of researchers working in an excellent research environment to significantly advance higher education research.
• The CRC provides all its members with tailored support, coaching and supervision, including special support for international researchers.
• You will be paid an attractive salary at the pay scale 0.75 FTE of TV-L E13. The position is initially offered on a three-year fixed-term contract.
• Your workplace is centrally located in Munich and easily accessible by public transportation.
• LMU has signed the "Diversity Charter" and is committed to diversity among its employees. We actively promote gender equality.

We welcome applications from women and other groups that are currently underrepresented in the academic system.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

Your detailed application includes a cover letter, your CV and copies of your transcripts and certificates. In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our LMU Privacy Policy. By submigng your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.

Please submit your application by September 22, 2026 , via email to [ [email protected] ]. If you have any questions, please contact [ [email protected] ].

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In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our LMU Privacy Policy . By submitting your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.

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