Thesis: Data set generation for trustworthy AI* (Waldkirch (bei Freiburg), DE, 79183)
Sick AG
Summer Semester 2025 - fixed-term for 3-6 months
In the context of machines and robots, people are exposed to specific dangers. Artificial intelligence has the potential to revolutionize industrial safety solutions, with proof and assurance of high reliability being crucial. The goal of this work is to develop a method for creating a curated dataset for AI training and validation, ensuring that robot applications can be designed safely for humans.
YOUR TASKS:
YOUR PROFILE:
YOUR APPLICATION:
*At SICK, we see people, not gender.
We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.
Stichworte: Intern, Internship, Abschlussarbeit
Summer Semester 2025 - fixed-term for 3-6 months
In the context of machines and robots, people are exposed to specific dangers. Artificial intelligence has the potential to revolutionize industrial safety solutions, with proof and assurance of high reliability being crucial. The goal of this work is to develop a method for creating a curated dataset for AI training and validation, ensuring that robot applications can be designed safely for humans.
YOUR TASKS:
YOUR PROFILE:
YOUR APPLICATION:
*At SICK, we see people, not gender.
We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.
Stichworte: Intern, Internship, Abschlussarbeit
WHAT YOU CAN LOOK FORWARD TO:
Attractive Remuneration: Internships and theses are attractively remunerated at SICK.
Mobile Work: Students can work remotely as far as their tasks permit.
Flexible Working Hours: The weekly working time is 35 hours with the possibility of compensating overtime with time off.
Subsidised Regional Meals and Free Drinks: Students receive an additional 50% discount in our company restaurants.
Welcome Event and Networking: 'Welcome @ SICK' and regular networking opportunities to meet other students.
Training: Wide range of trainings via the Sensor Intelligence Academy.
Support in Finding Accommodation: SICK supports students in their search for accommodation at the Waldkirch and Hamburg locations.
Wide Range of Sports and Hansefit: For an attractive monthly fee, you can use over 8,500 different fitness and leisure facilities throughout Germany.
Discover All Benefits
WHAT YOU CAN LOOK FORWARD TO:
Discover All Benefits
In the context of machines and robots, people are exposed to specific dangers. Artificial intelligence has the potential to revolutionize industrial safety solutions, with proof and assurance of high reliability being crucial. The goal of this work is to develop a method for creating a curated dataset for AI training and validation, ensuring that robot applications can be designed safely for humans.
YOUR TASKS:
- Design and develop a measurement setup for capturing hands and arms using various 3D-TOF sensors
- Research typical movement patterns and protective equipment in industrial environments
- Record a comprehensive and systematic dataset and link it with metadata in a data management system
- Develop algorithms for automatic data segmentation
- Create methods for data augmentation, using segmentation to generate enhanced training data
- Collaborate daily with AI experts from pre-development and contribute to a strategic project initiative
YOUR PROFILE:
- Master's degree program in computer science, robotics, or a related field
- Expertise in deep learning, machine learning, and integration of common open-source libraries
- Strong programming skills, ideally in Python or C++
- Comprehensive understanding of image processing and working with 2D and 3D data
- You have experience & enjoy working with mechanical setups and electronic integration of sensors
- Systematic and structured way of thinking and working
- Creativity in finding solutions and an innovative spirit round off your profile
YOUR APPLICATION:
- We are looking forward to your online application
- Sarah Disch
- Job-ID 36312
- All applications will be treated confidentially
*At SICK, we see people, not gender.
We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.
Stichworte: Intern, Internship, Abschlussarbeit
Summer Semester 2025 - fixed-term for 3-6 months
In the context of machines and robots, people are exposed to specific dangers. Artificial intelligence has the potential to revolutionize industrial safety solutions, with proof and assurance of high reliability being crucial. The goal of this work is to develop a method for creating a curated dataset for AI training and validation, ensuring that robot applications can be designed safely for humans.
YOUR TASKS:
- Design and develop a measurement setup for capturing hands and arms using various 3D-TOF sensors
- Research typical movement patterns and protective equipment in industrial environments
- Record a comprehensive and systematic dataset and link it with metadata in a data management system
- Develop algorithms for automatic data segmentation
- Create methods for data augmentation, using segmentation to generate enhanced training data
- Collaborate daily with AI experts from pre-development and contribute to a strategic project initiative
YOUR PROFILE:
- Master's degree program in computer science, robotics, or a related field
- Expertise in deep learning, machine learning, and integration of common open-source libraries
- Strong programming skills, ideally in Python or C++
- Comprehensive understanding of image processing and working with 2D and 3D data
- You have experience & enjoy working with mechanical setups and electronic integration of sensors
- Systematic and structured way of thinking and working
- Creativity in finding solutions and an innovative spirit round off your profile
YOUR APPLICATION:
- We are looking forward to your online application
- Sarah Disch
- Job-ID 36312
- All applications will be treated confidentially
*At SICK, we see people, not gender.
We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.
Stichworte: Intern, Internship, Abschlussarbeit
WHAT YOU CAN LOOK FORWARD TO:
Attractive Remuneration: Internships and theses are attractively remunerated at SICK.
Mobile Work: Students can work remotely as far as their tasks permit.
Flexible Working Hours: The weekly working time is 35 hours with the possibility of compensating overtime with time off.
Subsidised Regional Meals and Free Drinks: Students receive an additional 50% discount in our company restaurants.
Welcome Event and Networking: 'Welcome @ SICK' and regular networking opportunities to meet other students.
Training: Wide range of trainings via the Sensor Intelligence Academy.
Support in Finding Accommodation: SICK supports students in their search for accommodation at the Waldkirch and Hamburg locations.
Wide Range of Sports and Hansefit: For an attractive monthly fee, you can use over 8,500 different fitness and leisure facilities throughout Germany.
Discover All Benefits
WHAT YOU CAN LOOK FORWARD TO:
- Attractive Remuneration
- Mobile Work
- Flexible Working Hours
- Subsidised Food & Free Drinks
- Welcome Event & Networking
- Training & Development
- Support in Finding Accommodation
Discover All Benefits
JOB SUMMARY
Thesis: Data set generation for trustworthy AI* (Waldkirch (bei Freiburg), DE, 79183)Sick AG
Waldkirch
20 days ago
N/A
Full-time