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Working Student, Control and Learning for Humanoid Robots (m/f/d)

Agile Robots SEvor 11 StundenWerkstudent
Vor OrtEnglisch erforderlichIngenieurwesenRobotik

Erforderliche Skills

imitation learningoptimizationreinforcement learningPythonmachine learningsimulationC++dynamicsrobot kinematicsmotion planningcontrol

Stellenbeschreibung

Agile Robots SE hat diese Anzeige veröffentlicht. Wir haben unten unseren eigenen Werkstudenten-Kontext ergänzt — was diese Stelle für deine Wochenstunden, dein Netto und dein Studierendenvisum als Studierende:r in Munich, Deutschland bedeutet.

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Beschreibung bereitgestellt von Agile Robots SE

About the role

 Agile Robots SE is a high-tech startup based in Munich. Our mission is to bridge the gap between AI and robotics by developing robotic systems that offer state-of-the-art full-body force sensitivity and world-leading vision intelligence. This unique combination of technologies enables us to provide intelligent, easy-to-use and affordable robotic solutions with safe human-robot interaction.

We are a dynamic and innovative software development company dedicated to pushing the boundaries of technology. We specialize in creating cutting-edge solutions that transform industries and redefine user experiences.

We are looking for motivated students interested in control and learning for humanoid robots.Depending on your background, interests, and the current project needs, you will contribute to research and development topics at the intersection of robot learning, control, simulation, and real-world robotic systems. 

The work may involve developing and evaluating learning-based control policies, improving simulation and training pipelines, analyzing robot behavior, or supporting the transfer of algorithms from simulation to real robotic platforms.

This role is well suited for students who are curious, technically strong, and interested in working on open-ended robotics problems where not all requirements are known in advance.

Your Responsibilities

  • Developing, testing, and improving control and learning algorithms for humanoid robots

  • Working with simulation environments for training, evaluation, and benchmarking

  • Supporting reinforcement learning, imitation learning, or model-based learning pipelines

  • Implementing and evaluating locomotion, manipulation, balancing, or whole-body control behaviors

  • Analyzing robot behavior, failure cases, and learning performance

  • Supporting sim-to-real transfer and experiments on robotic hardware

  • Integrating learned policies with perception, planning, control, and actuation components

  • Reviewing and reproducing relevant research from robotics, control, and machine learning

  • Documenting results clearly and presenting technical findings to the team

Your Profile

  • Currently enrolled in a Master’s degree in robotics, computer science, electrical engineering, mechanical engineering, artificial intelligence, or a related field

  • Strong interest in humanoid robotics, robot learning, control, or embodied AI

  • Good programming skills in Python and/or C++

  • Basic understanding of robot kinematics, dynamics, control, or motion planning

  • Familiarity with machine learning, reinforcement learning, imitation learning, or optimization

  • Experience with simulation tools or robotics frameworks is beneficial

  • Ability to work independently and learn quickly in an open-ended technical environment

  • Good communication skills and willingness to collaborate in an interdisciplinary team

What we offer

  • A dynamic high-tech company, combined with financial soundness and world-class investors.
  • Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
  • Lots of development opportunities as we continue to grow.
  • Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
  • Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.
  • Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment

About us

Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. 

This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!

We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.

Wichtiges für Werkstudierende

Was diese Werkstudentenstelle im Bereich Ingenieurwesen in Munich für dich bedeutet — die Wochenstundenregeln, Vorteile bei den Sozialabgaben und worauf internationale Studierende vor der Bewerbung achten sollten.

Wochenstunden

Werkstudierende dürfen während des Semesters bis zu 20 Stunden pro Woche arbeiten, in den Semesterferien Vollzeit. Wer das einhält, behält den Studierendenstatus und die Werkstudentenvorteile.

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Sozialabgaben

Dank des Werkstudentenprivilegs zahlst du keine Beiträge zur Kranken-, Pflege- und Arbeitslosenversicherung — nur die Rentenversicherung greift. Dir bleibt mehr netto als in einem regulären Job.

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Internationale Studierende

Studierende von außerhalb der EU dürfen 140 volle oder 280 halbe Tage im Jahr arbeiten (seit März 2024, zuvor 120/240). Ein Werkstudentenvertrag passt meist in diesen Rahmen — prüfe die genauen Grenzen auf deinem Aufenthaltstitel.

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