Student assistant (m/f/d) for Teaching (Machine Learning and Reinforcement Learning)

The Robotics Innovation Center research area, headed by Prof. Dr. Dr. h.c. Frank Kirchner, develops next-generation mobile robotic systems that can autonomously solve complex tasks in water, in space, and in our everyday lives using artificial intelligence methods.

In order to strengthen our dedicated team in the Robotics Innovation Center (RIC) research department in Bremen we are looking for a  

Student Assistant (m/f/d/x) for Teaching (ML and RL)

Reference: 11184-2025

You can find all further details on the invitation to tender at the following address:

https://jobs.dfki.de/en/vacancy/

• General teaching support of the courses "Machine Learning for Autonomous Robots" and "Reinforcement Learning"
• Creating and maintaining Latex teaching materials
• Correcting student worksheet submissions
• Editing and transcribing video content
• Interacting with students via online learning platforms
• Generating and testing course materials

• Current student of computer science or a related field
• Very good programming skills in Python
• Experience with Git (Github/GitLab)
• Experience in use of Latex
• Very good command of the English language
• Good communication skills

• • Opportunities to gain first-hand teaching experience
  • Deepening of knowledge of Reinforcement Learning and Machine Learning
  • Gain insights into research projects at DFKI
  • Flexible work hours
  • Possibility to work from home

  Working hours: approx. 8h/week
  
  We look forward to receiving your complete and informative application documents (including current transcript of records and student enrolment certificate) and your earliest possible starting date by 31/03/2025.
  
  Please contact Nayari Lessa for further information and send your complete application.

Please feel free to contact us if you have any questions regarding this position: Nayari Lessa

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)

Robert-Hooke-Str. 1

28359 Bremen

+49 421 178 45-4208