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Ludwig-Maximilians-Universität München

Ludwig-Maximilians-Universität München
Vollzeit, Teilzeit
Munich

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 - Education and Educational Psychology Full-time / Part-time Part-time (12 hours/week) Start date As soon as possible (initially fixed-term for 12 months)

About us:

The DFG-funded Transregional Collaborative Research Centre SHARP “Simulation-based learning in higher education: Advancing research on process diagnostics and personalised interventions”contributes to theory building on how learning in higher education can be personalised through simulations. The TRR focuses on diagnosis and intervention, two professional practices that are of great importance in many academic professions. The position is based at the Chair of Education and Educational Psychology (Prof. Frank Fischer) in Project Z of the consortium.

An overview of the consortium and all its subprojects is available .

We are looking for you:

Student Research Assistant (m/f/x)

in Munich

Your tasks and responsibilities:

As a student research assistant, you will support the scientific coordination of the research consortium. Your tasks will include, in particular:

  • Supporting the financial and administrative management as well as the organisational coordination of the consortium and its subprojects
  • Supporting the preparation, running and follow-up of SHARP events
  • Supporting the organisation of workshops, lecture series and other consortium-wide events
  • Supporting the preparation and running of internal consortium meetings
  • Supporting science communication and knowledge transfer
  • Contributing to the documentation of the consortium’s activities and projects

Your qualifications:

  • You are studying a subject relevant to the research consortium, e.g. psychology, educational science, educational research, the learning sciences or a related field.
  • You are interested in scientific research and would enjoy gaining insight into the work of an interdisciplinary research consortium.
  • You work in a structured, reliable and careful manner.
  • You enjoy working in a team and also bring the independence needed to handle the tasks assigned to you.
  • You have a good working knowledge of standard MS Office applications and are familiar with email programs.
  • Very good German and English skills are required.

Benefits:

  • You will gain insight into the consortium’s research and scientific topics and get to know the structures and working practices of a large interdisciplinary research consortium.
  • You will have the opportunity to build a network within the consortium.
  • You will receive guidance and personal supervision in your tasks.
  • You can organise your working hours flexibly within the organisational constraints. Working from home is possible by arrangement.
  • You will have your own workspace.
  • We are hoping for a longer-term collaboration and offer the option of continuing the position beyond the initially agreed period.

We welcome applications from women and from other groups that are currently under-represented in academia.

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

Contact:

Your application should include a cover letter and your CV. Please send your application documents by October 29, 2026, at the latest to Prof. Dr. Frank Fischer at . The position will be filled as soon as a suitable candidate has been found.

Where knowledge is everything.

LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech.

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 . 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.

Ludwig-Maximilians-Universität München
Geschwister-Scholl-Platz 1
80539 München