PhD Candidate in AI-Driven Methods for Cyber-Physical Systems

Job summary

A PhD scholarship is available in the Embedded Systems Engineering section, focusing on AI-assisted methods for software-defined vehicle engineering automation. The project aims to develop AI-driven methods and tools for model-based systems engineering of distributed cyber-physical real-time systems.

Qualifications

• A two-year master's degree (120 ECTS points) or equivalent academic level.
• Background in algorithms and data structures.
• Knowledge of machine learning.
• Proficiency in programming and software tool development.
• Interest in cyber-physical systems, real-time systems, embedded or distributed systems, optimization, or formal methods.

Responsibilities

• Develop AI-driven methods and prototype tools for analysis and configuration in model-based engineering workflows.
• Explore AI-based methods for predicting or approximating analysis results.
• Implement AI-assisted combinatorial optimization for various engineering problems.
• Utilize large language models for synthesizing models, constraints, and test cases.
• Conduct experiments on distributed architectures inspired by vehicle systems.

Skills

• Strong analytical and problem-solving skills.
• Proficiency in programming languages relevant to software development.
• Familiarity with machine learning techniques and tools.

Education

• A master's degree in a relevant field is required.

Tools

• Experience with model-based engineering tools and methodologies is preferred.