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Internship / Thesis Robotic Foundation Models for Automotive Final Assembly(m/w/x)
Commissioning collaborative robots and sensor systems for AI-supported automotive production. Master's degree in relevant field and strong analytical skills required. 30 vacation days and company pension.
Requirements
- Master's in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or comparable
- Very good to good academic achievements
- Strong analytical and conceptual skills
- Familiarity with scientific methods
- Independent work ability
- Interdisciplinary team collaboration
- High motivation
- Good machine learning knowledge
- Good neural networks knowledge
- Practical PyTorch experience in research
- Solid Python programming skills
- Basic Linux knowledge
- Experience with ROS / ROS 2 desirable
- Experience with robot simulations desirable
- Fundamentals of robotics desirable
- German proficiency level C1
- English proficiency level C1
Tasks
- Set up and commission collaborative robots
- Set up and commission sensor systems
- Research current literature on learning-based methods
- Analyze current literature on robotic manipulation
- Investigate data-driven deep learning approaches
- Control real robot systems
- Collect demonstration data
- Structure demonstration data
- Evaluate demonstration data
- Assess trained model performance
- Document results
- Present results
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- PyTorch
- Python
- Linux
- ROS / ROS 2
- Isaac Sim
- MuJoCo
- Gazebo
Benefits
Flexible Working
- Flexible working hours
- Mobile working
More Vacation Days
- 30 vacation days
Retirement Plans
- Company pension
Learning & Development
- Training offers
Mentorship & Coaching
- Consulting offers
Company Vehicle
- Vehicle purchase conditions
- Vehicle leasing conditions
Company Bike
- Bicycle leasing
Workation & Sabbatical
- Sabbatical program
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Internship / Thesis Robotic Foundation Models for Automotive Final Assembly(m/w/x)
Commissioning collaborative robots and sensor systems for AI-supported automotive production. Master's degree in relevant field and strong analytical skills required. 30 vacation days and company pension.
Requirements
- Master's in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or comparable
- Very good to good academic achievements
- Strong analytical and conceptual skills
- Familiarity with scientific methods
- Independent work ability
- Interdisciplinary team collaboration
- High motivation
- Good machine learning knowledge
- Good neural networks knowledge
- Practical PyTorch experience in research
- Solid Python programming skills
- Basic Linux knowledge
- Experience with ROS / ROS 2 desirable
- Experience with robot simulations desirable
- Fundamentals of robotics desirable
- German proficiency level C1
- English proficiency level C1
Tasks
- Set up and commission collaborative robots
- Set up and commission sensor systems
- Research current literature on learning-based methods
- Analyze current literature on robotic manipulation
- Investigate data-driven deep learning approaches
- Control real robot systems
- Collect demonstration data
- Structure demonstration data
- Evaluate demonstration data
- Assess trained model performance
- Document results
- Present results
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- PyTorch
- Python
- Linux
- ROS / ROS 2
- Isaac Sim
- MuJoCo
- Gazebo
Benefits
Flexible Working
- Flexible working hours
- Mobile working
More Vacation Days
- 30 vacation days
Retirement Plans
- Company pension
Learning & Development
- Training offers
Mentorship & Coaching
- Consulting offers
Company Vehicle
- Vehicle purchase conditions
- Vehicle leasing conditions
Company Bike
- Bicycle leasing
Workation & Sabbatical
- Sabbatical program
About the Company
Group IT for Production and Logistics
Industry
Manufacturing
Description
The company is responsible for software deployed across the entire production and logistics process chain, shaping the transformation toward AI-supported, data-driven production through research at the intersection of industrial robotics and modern AI methods.
Not a perfect match?
- Volkswagen AG
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