PhD Researcher in Explainable Incident Response
4 weken geleden
In today's digital landscape, cybersecurity threats are becoming increasingly sophisticated, making it challenging for security analysts to respond effectively. To address this issue, we are seeking a highly motivated PhD researcher to work on developing explainable AI algorithms for incident response. The goal of this project is to create AI-assisted practitioners for incident response by developing novel ML algorithms that reduce analyst workload and provide decision-making assistance.
About the ProjectThe PhD student will explore multi-modal learning and generative AI to produce actionable explanations from discovered patterns that are tailored to the operator's expertise. The evaluation of these algorithms will be done under closed-world and open-world settings. For the closed-world setting, a major challenge is the lack of suitable datasets to evaluate ML models. The student will set up a testbed together with our industry collaborators for the collection of intrusion alert datasets. For the open-world setting, the student will deploy these algorithms in real SOC environments in order to measure the extent of workload reduction experienced by security analysts.
About the Role- You will be embedded within the Semantics, Cybersecurity, and Services (SCS) group at University of Twente.
- You will have the opportunity to participate in internships and/or collaboration with industry partners under the TUCCR initiative.
- You will work in a stimulating, supportive, and diverse research environment, as well as have plenty of opportunities for personal and professional growth.
- You are a highly motivated and enthusiastic researcher, aspiring to do world-class research and have real-world impact.
- You have a MSc degree with excellent grades in computer science, or similar; Applications from students who are about to finish their MSc degree studies will be considered as well.
- You are interested in the domain of cybersecurity and have a solid background in systems security and/or data science/artificial intelligence; Some industrial experience in a cybersecurity role and prior experience with writing scientific papers are of additional advantage.
- You know your way around UNIX/Linux systems and can code in Python.
- You are curious and interested in learning how things work and how to make them better.
- You have a creative mind-set and excellent analytical and communication skills.
- You have good team spirit and like to work in an interdisciplinary and internationally oriented environment.
- You are proficient in English.
- As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;
- The University offers a dynamic ecosystem with enthusiastic colleagues;
- Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
- You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);
- There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
- The flexibility to work (partially) from home;
- A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis;
- Free access to sports facilities on campus;
- A family-friendly institution that offers parental leave (both paid and unpaid);
- You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
- We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.
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