Your tasks and responsibilities:

  • Research in the areas of Process Mining, Machine Learning and Data Mining
    • Pursuing your own scientific qualification
    • Publishing research results in the form of peer-reviewed articles at relevant conferences and in specialized journals
  • Participating in the teaching activities of the department
    • Supervision of master‘s and bachelor’s students
    • Supporting lectures, seminars and practicals
  • Participating in other scientific tasks of the department.

Your qualifications:

  • University degree (M.Sc.) with very good grades in Computer Science or related fields
  • Strong background in Data Mining (and ideally in the topic interested in)
  • Solid programming skills in at least one programming language
  • Good communication skills, fluent in English, and ideally knowledge of German.

Benefits:

You will work at LMU Munich in the ecosystem of one of Germany and Europe’s leading AI research regions, with access to an excellent network of researchers. With the national AI competence center, Munich Center for Machine Learning, the Munich region has a unique network of top researchers nationwide.

Your workplace is centrally located at the English Garden in Munich and is easily accessible by public transportation. The salary is based on the German TV-L E13. The position is limited to three years, with the possibility of extension. We welcome applications from women.

Also possible in a part-time capacity.People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

To apply, please send the following documents in a single PDF file (max. 5MB) to Prof. Dr. Thomas Seidl by 2023-09-30

  • Motivation letter including research interests
  • A curriculum vitae
  • Certificates.

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!

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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