Image
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 Mathematics, Informatics and Statistics - Department of Statistics
Full-time / Part-time Part-time (6-8 hours per week)
Start date As soon as possible
Application deadline 2025-12-14

About us:

We are the Social Data Science and AI (SODA) Lab at the Department of Statistics of Ludwig Maximilian University of Munich. We work on the social aspects and implications of artificial intelligence, machine learning and data science.

We are looking for you:

Student Assistant for Science Communication Focus: Text and Visual Content (m/f/x)

in Munich

Your tasks and responsibilities:

  • Communicate research findings and activities to the public, stakeholders, and academic communities through engaging text and visual content.
  • Create science communication materials such as social media posts (esp. LinkedIn), blog entries, press releases, and PowerPoint presentations.
  • Collaborate with researchers to translate complex scientific results into clear, accessible language and compelling images/graphics.
  • Assist in content planning, editing, and visual design.
  • Support visibility and outreach activities for research projects.

Your qualifications:

  • Enrollment at a German university.
  • Proficiency in written and spoken German and English.
  • Design skills and familiarity with tools such as PowerPoint, Canva, Inkspace or Adobe Creative Suite (or a keen interest and motivation to develop these skills).
  • Reliability, initiative, and ability to work independently and as part of a team.

Benefits:

Joining our team means becoming part of innovative, interdisciplinary initiatives and collaborating with cross-faculty teams. This role provides opportunities to deepen your knowledge of science communication by engaging with various stakeholders and addressing diverse topics. Remote work is possible.
Applications from suitably qualified female candidates are particularly encouraged.

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

Contact:

Interested applicants should submit their applications by e-mail to Wiebke Weber (wiebke.weber at lmu.de) with the subject "Application: Student assistant for Science Communication". Applications shall be compiled into one PDF document and include a recent CV and transcripts of records. Questions might be addressed via the above-indicated e-mail address.

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. Become part of LMU Munich!