项目介绍

2025年5月3日

The Internet has had a revolutionary impact on modern society. What started as a technology to interconnect only a handful of institutions has – in a span of three decades – risen to become our core communications fabric. We use the Internet, among others, to find and disseminate important information, to connect with friends and relatives, and to engage in e-commerce. Due to its central role, the Internet is attractive for cybercriminals, who use computer systems and networks to carry out criminal activities. Bad actors use techniques such as phishing to steal personal or otherwise sensitive information. Malware is used to steal data or inflict damage on computer or software systems. Fraudulent webshops have been on the rise. And misinformation and fake news is spread on-line, promoting conspiracy theories and fringe communities.

Individuals and groups that are vulnerable to crime in the physical world are especially vulnerable to cybercrime. A so-called “security divide” exists between those with the knowledge and resources to protect themselves from cyber threats and those without. This division exists within countries but also between countries, and disparities are expected to deepen in the future (Internet Society, 2022).

The goal of this PhD project is to identify and characterize abuse on the Web and to establish actionable insights to facilitate takedown efforts. Examples of abuse include malvertisement, illicit content, or disinformation. The type of abuse is not set in stone, giving the candidate some freedom to establish a course of action together with their advisors. What is a given is the measurement-based approach and use of machine-learning (e.g., feature engineering, clustering, NLP, LLMs).

Several invaluable data sets that the group collects are anticipated to take a central role in the project. For example, we have an extensive view on domain names under country top level domains, which can facilitate country-level studies. Moreover, we measure where content is located, which could help identify networks that host illicit content, knowingly or unknowingly. The candidate is also expected to recognize and expand on data collection opportunities in furtherance of their research.

Your profile

• A Master’s Degree in Computer Science or related discipline;
• Demonstrable experience with coding, data analytics, and machine-learning methods;
• A passion and affinity for cyber security;
• A background in computer networking;
• Creative thinker with analytical and problem-solving abilities;
• A high degree of responsibility and independence;
• Good communication skills and a full professional proficiency in English;
• Able to collaborate and work in a team comprised of faculty, peers and other colleagues.

Our offer

• As PhD candidate at the University of Twente, you will be appointed to a full-time position for the period of four years, subject to a qualifier exam held within the first year;
• The university offers a stimulating and exciting scientific environment with enthusiastic colleagues;
• Your salary and associated conditions are in accordance with the collective labour agreement of Dutch universities (CLA-UNL);
• You will receive a gross monthly salary ranging from €2.901 in the first year to €3.707 in the fourth year;
• Excellent benefits including a holiday allowance (8% of gross annual salary), an 8.3% end-of-year bonus, and a solid pension scheme;
• The flexibility to work partially from home;
• A minimum of 232 leave hours, based on a formal workweek of 38 hours. Full-time employment in practice means 40 hours a week, resulting in 96 extra leave hours on an annual basis;
• The university is a family-friendly institution that offers both paid and unpaid parental leave;
• Free access to sports facilities on campus;
• You will undergo a training programme as part of the Twente Graduate School (TGS), grounded in a training and supervision plan, drawn up by you and in agreement with your supervisors.

Information and application

Are you interested in being part of our team? Please submit your application before May 31, 2025, via the ‘Apply Now’ button below. Make sure to include:

• A motivation letter, detailing your reasons for applying for this PhD position, and explaining how you match the profile;
• A Curriculum Vitae;
• Academic transcripts of your B.Sc. and M.Sc. Education.

For more information regarding this position, you are welcome to contact Mattijs Jonker via the following email address: m.jonker@utwente.nl.