PhD Position: Explaining AI-driven Incident Response

3 weken geleden


Enschede, Overijssel, Nederland Universiteit Twente Voltijd
About the Research Project

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.
Requirements and Qualifications
  • 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.
What We Offer
  • 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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