Fraunhofer-Gesellschaft
.Stud. Hilfskraft - Kontaktbehaftete Aufgaben in der Simulation mittels RL/Foundation Models(m/w/x)
Full-timeWorking StudentOn-site
Stuttgart
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FRFraunhofer-Gesellschaft
Student Assistant - Learning contact-rich tasks in simulation with RL/foundational models(m/w/x)
Stuttgart
Full-timeWorking StudentOn-site
Nejo AI Summary
Setting up physics-based simulation environments for contact-rich assembly operations. Experience with robotics simulation, Python, C++, ROS, and PyTorch required. Freedom to implement own ideas.
Requirements
- Enrollment in robotics, computer science, AI, or related field
- Experience with robotics simulation environments (Isaac Sim, MuJoCo, Bullet)
- Strong programming skills in Python, C++
- Experience with ROS (Robot Operating System)
- Experience with machine learning frameworks, particularly PyTorch
- Experience in reinforcement learning methods
- Interest/initial experience with generative AI (LLMs, VLMs)
- Experience with robotic manipulators (beneficial)
- Fluent English
Tasks
- Set up physics-based simulation environments
- Configure different simulators and robot models
- Model contact-rich handling and assembly operations
- Implement contact-rich assembly processes in simulation
- Design RL-based approaches for assembly learning
- Train RL models to learn assembly policies
- Investigate state-of-the-art foundation models
- Model assembly operations using foundation models
- Generalize assembly operations with foundation models
- Explore generative AI for skill sequence generation
- Document developed methods and findings
- Present methods and findings
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- Isaac Sim
- MuJoCo
- Bullet
- Python
- C++
- ROS (Robot Operating System)
- PyTorch
- Large Language Models (LLMs)
- Vision-Language Models (VLMs)
Benefits
Startup Environment
- Freedom to implement own ideas
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FRFraunhofer-Gesellschaft
Student Assistant - Learning contact-rich tasks in simulation with RL/foundational models(m/w/x)
Stuttgart
Full-timeWorking StudentOn-site
Nejo AI Summary
Setting up physics-based simulation environments for contact-rich assembly operations. Experience with robotics simulation, Python, C++, ROS, and PyTorch required. Freedom to implement own ideas.
Requirements
- Enrollment in robotics, computer science, AI, or related field
- Experience with robotics simulation environments (Isaac Sim, MuJoCo, Bullet)
- Strong programming skills in Python, C++
- Experience with ROS (Robot Operating System)
- Experience with machine learning frameworks, particularly PyTorch
- Experience in reinforcement learning methods
- Interest/initial experience with generative AI (LLMs, VLMs)
- Experience with robotic manipulators (beneficial)
- Fluent English
Tasks
- Set up physics-based simulation environments
- Configure different simulators and robot models
- Model contact-rich handling and assembly operations
- Implement contact-rich assembly processes in simulation
- Design RL-based approaches for assembly learning
- Train RL models to learn assembly policies
- Investigate state-of-the-art foundation models
- Model assembly operations using foundation models
- Generalize assembly operations with foundation models
- Explore generative AI for skill sequence generation
- Document developed methods and findings
- Present methods and findings
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- Isaac Sim
- MuJoCo
- Bullet
- Python
- C++
- ROS (Robot Operating System)
- PyTorch
- Large Language Models (LLMs)
- Vision-Language Models (VLMs)
Benefits
Startup Environment
- Freedom to implement own ideas
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Not a perfect match?
- Fraunhofer-Gesellschaft
.Stud. Hilfskraft - Kontaktbehaftete Aufgaben in der Simulation mittels RL/Foundation Models(m/w/x)
Full-timeWorking StudentOn-siteStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Bosch Group
Master Thesis Optimized Design of Robotic Assembly Systems(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Execution-Aware Multi-Robot Planning(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch Group
Master Thesis Bridging the Gap between Reinforcement Learning & E2E Driving(m/w/x)
Full-timeInternshipOn-siteRenningen