Student Assistant (m/f/d) - Contact-Intensive Tasks in Simulation using Generative AI/FM/RL

Fraunhofer-Gesellschaft · Stuttgart

HiWiGerman needed: not said

Still open on 1 Nov

You apply on the company's own website.

What you'll do

Here you drive change

Setup and configuration of physics-based simulation environments (e.g., various simulators and robot models)
Modeling and implementation of contact-rich handling and assembly operations in simulation
Exploration of generative AI approaches for automatic generation of skill sequences for assembly tasks
Investigation of state-of-the-art foundation models for modeling and generalization of assembly operations
Design and training of RL-based approaches for learning assembly processes and associated policies
Documentation and presentation of developed methods and results

Here's what you bring

Valid enrollment at a German university in robotics, computer science, artificial intelligence, or a related field
(Required) Practical experience in modeling contact-rich interactions with robotics simulation environments such as Isaac Sim, MuJoCo, or Bullet
(Required) Practical experience with Retrieval-Augmented Generation (RAG) and generation pipelines, particularly in the context of Large Language Models (LLMs)
Experience with robot manipulators is an advantage
Good programming skills in Python, C++, and experience with ROS (Robot Operating System)
Experience with machine learning frameworks, particularly PyTorch and Reinforcement Learning methods
Fluent English skills

What we offer you

Here you drive change

Setup and configuration of physics-based simulation environments (e.g., various simulators and robot models)
Modeling and implementation of contact-rich handling and assembly operations in simulation
Exploration of generative AI approaches for automatic generation of skill sequences for assembly tasks
Investigation of state-of-the-art foundation models for modeling and generalization of assembly operations
Design and training of RL-based approaches for learning assembly processes and associated policies
Documentation and presentation of developed methods and results

Here's what you bring

Valid enrollment at a German university in robotics, computer science, artificial intelligence, or a related field
(Required) Practical experience in modeling contact-rich interactions with robotics simulation environments such as Isaac Sim, MuJoCo, or Bullet
(Required) Practical experience with Retrieval-Augmented Generation (RAG) and generation pipelines, particularly in the context of Large Language Models (LLMs)
Experience with robot manipulators is an advantage
Good programming skills in Python, C++, and experience with ROS (Robot Operating System)
Experience with machine learning frameworks, particularly PyTorch and Reinforcement Learning methods
Fluent English skills

What we offer you