Master Thesis - Unsupervised Learning for Autonomous Driving - Sensor Perception (m/f/d)

CARIAD; Ingolstadt; Hybrid; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading automotive software company offers a Master's Thesis opportunity in 'Unsupervised Learning for Autonomous Driving' in Ingolstadt. The role involves working with advanced sensor systems and data analysis to support automated driving. Students from related fields will gain practical experience through collaboration with multidisciplinary teams.

Leistungen

Remote work options within Germany

Flexible working hours

Professional development opportunities

Qualifikationen

• Enrolled student in a related field.
• Affinity for the automotive industry.
• Fluent in English and good knowledge of German.

Aufgaben

• Implement data processing functions with Python.
• Find scenes using unsupervised learning.
• Combine datasets from vehicle signals and perception systems.

Kenntnisse

Data-driven development

Machine learning

Analytical skills

Communication skills

Ausbildung

Enrolled in Statistics, Engineering, Computer Science, Mathematics, or Physics

Jobbeschreibung

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Master Thesis - Unsupervised Learning for Autonomous Driving - Sensor Perception (m/f/d), Ingolstadt

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Client:

CARIAD

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

59a67016e52b

Job Views:

4

Posted:

23.06.2025

Expiry Date:

07.08.2025

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Job Description:

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche - supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.

Join us and be part of this exciting journey!

YOUR TEAM

The department Sensors ADAS&AD works on cutting-edge sensor systems for enabling best-in-class automated driving and parking, as well as advanced driver assistance systems. You will work closely with the sensor & perception data team. The agile development team includes engineers from various backgrounds such as computer vision experts, test engineers, data scientists, and back-end software developers.

WHAT YOU WILL DO

• Find rare and interesting scenes using unsupervised learning methodologies
• Implement data processing functions with Python
• Combine rich datasets comprising vehicle and bus signals along with detection outputs from perception systems
• Evaluate scenes with video data
• Uncover hidden relationships within complex automotive data
• Compare different vision model results as part of model validation
• Evaluate new ways of searching video data

WHO YOU ARE

• Enrolled student in Statistics, Engineering, Computer Science, Mathematics, Physics, or an equivalent field
• Affinity for the automotive industry
• Knowledge of data-driven development and machine learning
• Fluent in English, good knowledge of German
• Strong analytical understanding and communication skills
• Well-structured and independent way of working

NICE TO KNOW

• Remote work options within Germany
• Duration: 3 to 6 months
• 35-hour week

At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at [e-mail] - we are happy to support you.

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