**Job Description**
This Ph.D. position focuses on researching state-of-the-art AI and applying it to real-world software problems at industrial partners (ASML, DCODIS). The main objective is to engineer the first open-source tool, Find2Fix, for the entire process from software error discovery to mitigation, including security vulnerabilities, based on modern active learning. The role involves innovating the Find2Fix pipeline using interpretable AI (state machine models and LLM-based explanations) to make discovered issues and suggested patches easier to understand. The researcher will extend fuzzing technology by learning behavioral models from software in real-time to guide fuzzers, discover logical faults, and pinpoint their root causes. This collaborative project will result in a tool for self-healing software, with research published and presented at international AI, software engineering, and security venues.
**Skills & Abilities**
• Excellent programming skills.
• Excellent communication skills in English, both written and oral.
• Curious mind.
**Qualifications**
Required Degree(s) in:
• Computer Science
• Artificial Intelligence
• Mathematics
**Experience**
Other:
• Interest in computer security.
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