PhD Position F/M: How does Reasoning with LLM Help Repair Vulnerabilities in Repo-level Software Projects?
Inria · Rennes
Research instituteonsiteentry$31k
At a glance
Highlights
- Advance repo-level vulnerability detection with LLM reasoning over multi-file code.
- Use RL fine-tuning to strengthen multi-step root cause analysis in repositories.
- Develop automated fixes that preserve utility while improving security.
Ideal candidate
Master's graduate in computer science or AI who is passionate about software security and advancing LLM reasoning for real-world vulnerability detection and repair.
Requirements
- Master's degree or equivalent engineering degree in Computer Science, Artificial Intelligence, Cybersecurity or related field
- Solid knowledge and project experience designing, training and evaluating DNN-based classification models
- Strong programming skills in Python with PyTorch or TensorFlow
- Experience with code parsing and analysis tools such as Tree-sitter or Joern is desirable
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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