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Student assistant for teaching and lecture support

Job Advertisement




Job Description

We are looking for a committed student (m/f/d) to assist us in the lecture Machine Learning 1 and Machine Learning 2 in researching lecture content, creating lecture slides, and exercises.

Tasks

  • Research and compilation of current contents on the topics of Machine Learning and Artificial Intelligence
  • Topics: Transformer, Large-Scale Training, Generative Models, Reinforcement Learning, Graph Neural Networks, Convolutional Neural Networks, Fundamentals, etc.
  • Creation and design of lecture slides and supporting materials
  • Development of exercise tasks and projects
  • Collaboration with lecturers for the continuous improvement of lecture content



We offer:

  • Committed support by the chair team
  • Interesting and varied topics and activities in the field of machine learning
  • Up to 40 hours / month (Duration: 6 months, extension possible)



We expect:

  • Basic knowledge in machine learning
  • Language skills in English and/or German
  • Experience in the use of tools such as Python, Powerpoint
  • Independent work style and creativity in the creation of materials
  • Willingness and ability to engage in new topics and technologies
  • Optional: Experience in teaching or tutoring



Required documents:

  • Cover letter (3-4 sentences)
  • Short resume (max. 2 pages)
  • Excerpt of current academic achievements



Applications by email to fechner∂kit edu.

Job Type

Student Assistants / Tutors

Link PDF

No information available

Contact Person

Marcus Fechner

Research Group

Applied Technical Cognitive Systems

Closing Date for Applications

2023/12/31