We are looking for Student Assistants across three tracks. Apply if one or more of the profiles match your background and interests: 

• Track 1: Robotics Integration Engineering (ROS2, navigation, motion planning, control)
• Track 2: Robot Learning & Simulation (foundation models, RL, simulation environments)
• Track 3: Hardware Engineering & Design (medical robotics, CAD, 3D printing, embedded electronics, industrial design, UX/UI design)

• Enrollment in a Bachelor’s or Master’s degree program in robotics, computer science, machine learning, electrical or mechanical engineering, mathematics, industrial design, or a related field
• Strong motivation to work on robotics research and real-world robotic systems
• Independent, structured, and reliable working style
• Programming experience, e.g. Python, C/C++, PyTorch, or JAX, depending on the selected track
• Familiarity with collaborative development tools, such as Git
• Very good written and spoken English skills
• Onsite availability to support hands-on prototyping, experimentation, and collaboration

Track-specific Requirements

• Track 1: Robotics Integration Engineering
  Experience or strong interest in ROS2 development, navigation and autonomy stacks, motion planning, and hardware-close deployment
• Track 2: Robot Learning & Simulation
  Knowledge of deep learning foundations, PyTorch pipelines, reinforcement learning, and distributed, edge, or cloud robotics
• Track 3: Hardware Engineering & Design
  Background in mechanical engineering, electrical engineering, or industrial design; experience with CAD, 3D printing, and sensor/actuator integration; UX/UI experience is a plus

Please make sure to include a detailed transcript of records with your application. Unfortunately, applications without a transcript of records cannot be considered. A cover letter is not required.

• An outstanding and research-driven working environment at Fraunhofer HHI
• Participation in cutting-edge research projects at the intersection of robotics, AI, and wireless communication
• A highly motivated, international, and interdisciplinary team
• Cutting-edge robotics, hardware, and compute infrastructure
• Collaboration with academic, industrial, and clinical partners
• Flexible working hours compatible with your studies