PhD Researcher in Explainable Incident Response
2 weken geleden
We are seeking a highly motivated PhD researcher to join our team at the University of Twente. The successful candidate will be part of the Semantics, Cybersecurity, and Services (SCS) group, which focuses on advancing the development of innovative online services with improved quality through context alignment and reduced security and privacy threats.
The PhD project aims to create 'AI-assisted practitioners' for incident response by developing novel human-in-the-loop ML algorithms that reduce analyst workload and provide decision-making assistance. The researcher will conduct fundamental research and explore various learning paradigms to develop actionable explanations from discovered patterns that are tailored to the operator's expertise.
Key Responsibilities- Conduct research on explainable AI for cybersecurity analysts
- Develop novel human-in-the-loop ML algorithms for incident response
- Explore various learning paradigms to develop actionable explanations
- Collaborate with industry partners to collect intrusion alert datasets
- Deploy algorithms in real SOC environments to measure workload reduction
- MSc degree in computer science or similar with a special emphasis on cybersecurity and/or artificial intelligence
- Excellent grades and research experience
- Interest in the domain of cybersecurity and explainability
- Solid background in artificial intelligence and/or cybersecurity
- Proficiency in Python and knowledge of sklearn and tensorflow
- Full-time position for four years with a qualifier in the first year
- Dynamic ecosystem with enthusiastic colleagues
- Competitive salary and benefits package
- Opportunities for professional growth and development
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PhD Researcher in Explainable Incident Response
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Enschede, Overijssel, Nederland University of Twente VoltijdJob DescriptionIn today's digital landscape, cybersecurity threats are becoming increasingly sophisticated. To combat these threats, organizations are turning to machine learning (ML) solutions to enhance security coverage and reduce the number of missed attacks. However, these ML systems often create many false positives, making it difficult to understand...
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Enschede, Overijssel, Nederland University of Twente VoltijdJob DescriptionIn the realm of cybersecurity, the increasing deployment of machine learning (ML) solutions in Security Operations Centres (SOCs) has led to a surge in false positives and a lack of understanding of how these systems work. The forensic analysis of incidents and incident response are largely manual procedures, resulting in analyst burnout and...
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Enschede, Overijssel, Nederland University of Twente VoltijdIn the realm of cybersecurity, the increasing deployment of machine learning (ML) solutions in Security Operations Centres (SOCs) has led to a surge in false positives and a lack of understanding in how these systems work. The forensic analysis of incidents and incident response remain largely manual procedures, resulting in analyst burnout and 'alert...
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PhD Position in Explainable Incident Response
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Enschede, Overijssel, Nederland University of Twente VoltijdIn the realm of cybersecurity, the increasing deployment of machine learning solutions in Security Operations Centres (SOCs) has led to a surge in false positives and a lack of understanding in how these systems work. The forensic analysis of incidents and incident response are largely manual procedures, resulting in analyst burnout and 'alert fatigue'.The...
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