Master Thesis in the area of Innovation and Prototyping (anSWer)
BIETIGHEIM-BISSINGEN - BIE2-1, Germany
Valeo
Valeo is an automotive supplier and partner to automakers worldwide. As a tech company, we design innovative solutions for smart mobility.Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
Would you like to shape the future of intelligent mobility together with us? Become part of our VALEO team and revolutionize the experience of autonomous and connected driving.
We are looking for YOU for a Master Thesis Student (m/w/d) in the area of Innovation and Prototyping (anSWer) for our location in Bietigheim.
Master Thesis: Development of an AI-supported Tool for ODD Description
Background:The Operational Design Domain (ODD) defines the environmental conditions under which autonomous systems can operate safely. A precise and efficient ODD description is essential for reducing testing efforts and ensuring safety. However, manually defining and updating ODDs is complex and time-consuming. To address this challenge, this thesis aims to develop an AI-supported tool that enables automated identification, prioritization, and structured representation of ODD aspects along the V-cycle.
These challenges await you:
Analysis of existing ODD models and identification of relevant features and constraints
Development of a structured approach for an AI-supported ODD description
Implementation of a machine learning-based model for automated identification and prioritization of ODD aspects
Python implementation using TensorFlow, Scikit-Learn, etc.
Validation of the model using simulation data or real sensor data
You inspire us with that:
Master’s student in Computer Science, AI, Mechatronics, Robotics, or a related field
Knowledge of Machine Learning, Data Science, and Python
Experience with TensorFlow, Scikit-Learn, or similar frameworks
Interest in autonomous systems, safety assessment, and AI-based automation
Why Valeo:
At VALEO, we firmly believe that great technologies are born out of passion.
🚙 Creative freedom. At Valeo, you can freely realise your visions and actively shape the future of technology.
💹 Career development. Benefit from specially customised internships, working student positions and the opportunity to write your thesis with us.
🔋 Flexibility. We offer flexible working hours so that you can optimally balance your studies and career.
🧪 Modern workplaces. Use our top-equipped offices and laboratories to realise your ideas efficiently and with creativity.
🍀 Team spirit. Work in a company whose culture is based on teamwork and open communication in order to be successful together.
Good to know:
Your contact person: Agnieszka Tanotra / agnieszka.tanotra@valeo.com
For data protection reasons, please submit your application documents exclusively online via the job portal on our website
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Job:
R&D Trainee/Apprentice/VIEOrganization:
System DepartmentSchedule:
Full timeEmployee Status:
Trainee (Fixed Term) (Trainee)Job Type:
Trainee / InternshipJob Posting Date:
2025-04-03Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
More information on Valeo: https://www.valeo.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Machine Learning Prototyping Python R R&D Research Robotics Scikit-learn TensorFlow Testing
Perks/benefits: Career development Flex hours
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