Mercedes-Benz 2025 Data & AI Driven Automotive SW Quality PhD Student Scholarship

This PhD position focuses on enhancing software quality through intelligent data-driven and AI-based methods. 

You will explore and develop AI-based solutions to continuously monitor and improve software quality across the vehicle lifecycle. Your work will span:

• Data Source Identification: Analyze and prioritize internal and external data sources such as development vehicles (CarLa, MB.OS Data Collection), production vehicles, test benches, defect tracking systems, public forums, and social media.
• Issue Analysis: Develop models to classify, consolidate and assess software issues (e.g., bug vs. feature, severity, frequency, root cause).
• Data Collection Strategy: Propose and validate new data collection strategies for software quality based on the findings.
• AI Application: Investigate where AI can be most effectively applied in the software quality pipeline and identify current limitations to its adoption.

The requirement for hiring is the supervision of the PhD project by a university lecturer. The PhD student is responsible for choosing his/her/their own supervisor.

• Table of Content
• About Mercedes-Benz
• Data & AI Driven Automotive SW Quality PhD Student Scholarship
• Aim and Benefits of Data & AI Driven Automotive SW Quality PhD Student Scholarship
• Requirements for Data & AI Driven Automotive SW Quality PhD Student Scholarship Qualification
• Application Deadline
• How to Apply

Data & AI Driven Automotive SW Quality PhD Student Scholarship

Aim and Benefits of Data & AI Driven Automotive SW Quality PhD Student Scholarship

• Food allowances
• Employee cell phone possible
• Employee discounts possible
• Employee participation possible
• Employee events
• Coaching
• Flexible working hours possible
• Hybrid working possible
• Health measures
• Company pension scheme
• Mobility offers

Requirements for Data & AI Driven Automotive SW Quality PhD Student Scholarship Qualification

• Master Degree or similar in Computer Science, Information Technology, Electrical Engineering or a comparable qualification
• Background in AI/ML, software engineering, or data science
• Passion for automotive software and quality
• Experience with bug issue systems, LLMs and agent technologies
• Knowledge of vehicle operating systems (Linux, QNX, AUTOSAR classic and adaptive) and embedded software development
• Programming skills in C, C++, Python and use of software-versioning tools (i.e. Git)
• Experience in agile software development
• Knowledge in data science or data analytics is helpful
• Business fluent English skills
• Self-management abilities
• Excellent Communication and Teamwork

Application Deadline

How to Apply

For more deails, visit Mercedes-Benz scholarship webpage.