Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
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Onsite Intern – Thesis Project, Simulation and Machine Learning in Robotics
Posted 9 hours ago
About the role
- Internship focusing on programming robotic arms and using machine learning in simulations at Fraunhofer IIS. Opportunity to gain practical experience and contribute to innovative research.
Responsibilities
- You want to gain experience in programming robot arms and deploying machine learning models in simulation and on real hardware
- Manufacturing processes are the subject of numerous current research efforts in robotics
- Digitizing real manufacturing tasks into simulation as digital twins
- Automated generation of large datasets through augmentation
- Training (Reinforcement/Imitation Learning) of large foundational models (Vision–Language–Action) using simulation and real-world data
- Transferring resulting policies from simulation to real robot hardware (Sim2Real transfer)
- Investigating discrepancies in system behavior between simulation and reality (Sim2Real gap) based on different system dynamics, sensor noise, contact modeling, and calibration errors
- Adapting the simulation and implementing methods to increase the robustness of the Sim2Real transfer
Requirements
- You are studying information systems engineering, computer science, electrical engineering, mechatronics, or a comparable degree program
- You are interested in robotics and ideally have experience with GPU simulators such as NVIDIA Isaac and motion-planning software like MoveIt or cuRobo
- You are interested in physical applications of machine learning and ideally have basic knowledge of reinforcement/imitation learning and popular frameworks based on PyTorch or JAX
- You enjoy working independently and have experience with Python as well as basic knowledge of software development and documentation
Benefits
- Shape your schedule: Benefit from flexible working hours that fit perfectly with your studies.
- Join a creative team: Experience an open and collegial work environment where your ideas are valued.
- Diversity that inspires: Enjoy varied tasks that stimulate and challenge you.
- Actively help shape the future: Contribute to application-oriented research and apply your theoretical knowledge in practice.
- Exciting innovations: Work on cutting-edge projects that make a real impact.
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