4 beste Stellen als simulation engineering in zürich zh – aktuell auf Personalsuche

Reinforcement Learning Expert - Humanoid (human)
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Reinforcement Learning Expert - Humanoid (human)

Neura Robotics -
Zürich, ZH

Direkt bewerben

Details zur Stelle

100%

Qualifikationen

Informatik
Doktorat
Englisch
Java
Master
Analysefähigkeit
C++
Hardware
Robotik
Kommunikationsfähigkeit
Python
Deutsch

Vollständige Stellenbeschreibung

Your mission & challenges

Together, we are taking the step into a new era of cognitive robots:

As an Expert in Reinforcement Learning and Behavior Cloning for Humanoid Robots at NEURA Robotics, you will lead the development and implementation of cutting-edge algorithms and systems. You will collaborate closely with our robotics engineering team to enhance the autonomy, adaptability, and interaction capabilities of our humanoid robots. This includes:

Make walking and manipulation of 4NE-1 robust
Design, implement, and optimize reinforcement learning algorithms tailored for humanoid robots to perform complex tasks autonomously.
Develop behavior cloning techniques to improve the efficiency and safety of robot operations in diverse environments.
Integrate reinforcement learning and behavior cloning approaches to enable robots to learn from both simulated and real-world interactions.
Collaborate with hardware engineers to ensure seamless integration of algorithms with robot hardware and sensors.
Conduct experiments and simulations to evaluate and validate algorithmic performance in various scenarios.

What we can look forward to

Master’s or Ph.D. in Robotics, Computer Science, or a related field
Proficiency in programming languages like Python, C++, or Java, with hands-on experience in robotics frameworks (e.g., ROS) and robotic hardware platforms
Experience in developing and deploying reinforcement learning algorithms and behavior cloning techniques for robotic systems, with a strong grasp of humanoid robot dynamics, control theory, and sensor integration
Familiarity with simulation tools such as Isaac Gym and a solid background in motion planning algorithms and perception systems for robots
Strong analytical skills and a proven ability to deliver innovative solutions in robotics, ideally including a track record of publications or contributions to conferences and journals
Experience with deep learning is a plus, particularly using frameworks like PyTorch or TensorFlow for applications in Computer Vision, Reinforcement Learning, or Behavior Cloning
Knowledge of GPU programming and the development of deep learning models for robotics applications
Your communication skills make you shine
You have a perfect command of the English language and, best of all, speak German well

Direkt bewerben

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Reinforcement Learning Expert - Humanoid (human)

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