PhD Position: Explaining AI-driven Incident Response
3 weken geleden
The proposed PhD project aims to create 'AI-assisted practitioners' for incident response by developing novel human-in-the-loop machine learning (ML) algorithms that reduce analyst workload and provide decision-making assistance.
Key Project Objectives- Develop explainable ML algorithms that summarize large volumes of observable data to discover contextually meaningful patterns.
- Explore various learning paradigms to develop actionable explanations from discovered patterns tailored to the operator's expertise.
- Conduct fundamental research and set up a testbed with industry collaborators for the collection of intrusion alert datasets.
- MSc degree in computer science or similar with a special emphasis on cybersecurity and/or artificial intelligence.
- Excellent grades and a solid background in artificial intelligence and/or cybersecurity.
- Interest in the domain of cybersecurity and explainability.
- Proficient in Python and familiar with sklearn and tensorflow.
- Full-time position for four years with a qualifier in the first year.
- Dynamic research environment with enthusiastic colleagues.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
We encourage applications from highly motivated and enthusiastic researchers who are interested in doing world-class research and have real-world impact.
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PhD Position in Explainable Incident Response
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Advanced PhD Position in Explainable Incident Response Systems
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PhD Position in Explainable Incident Response
3 weken geleden
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