ID 2420: Student assistant for “Machine Learning for Time Series” (4-6 h/w)

Within this work, the student will support the lecture Machine Learning for Time Series (MLTS).

Job description

  • Assist in course organization
  • Support exercises and teaching
  • Design and implement new exercise tasks for the course
  • Prepare slides for the exercises and lectures

Your profile

  • You attended the lecture Machine Learning for Time Series (MLTS)
  • You are fluent in English
  • It ideal if you have prior experience with Python (e.g. Pytorch, Sklearn, …)
  • You are highly motivated and you have excellent organizational skills

Period and Payment

  • Start date: September/October
  • Duration: at first 6 month contract, extention possible
  • 4 to 6 working hours per week. Additional hours may be possible.
  • Payment will be made according to the remuneration rates of part-time assistants at the FAU
  • Applications are open until the position is filled

If you are interested in the position, please send you CV, transcript of records, and a small motivation letter (< 1/2 page) by e-mail to Richard Dirauf and Dario Zanca or use our Application Form.

Don’t hesitate to contact us regarding any further questions.

Supervisors

Richard Dirauf, M. Sc.

Researcher & PhD Candidate

Please use the application form to apply for the topic. We will then get in contact with you.