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September 10, 2025

**Job Description**
This Ph.D. position focuses on advancing process mining and data-driven intelligence to tackle real-world cyber threats. The successful candidate will develop novel methods in streaming process mining and artificial intelligence, working with leading researchers and industry partners to shape secure digital systems and build a strong research profile. The project aims to develop real-time methods for detecting and predicting cyber threats through foundational research and practical applications.

**Skills & Abilities**
• Solid knowledge of process mining, continual learning, or cybersecurity
• Strong analytical and programming skills (e.g., Python, Java, or similar)
• Ability to work independently as well as in an international research team
• Excellent command of English, written and spoken

**Qualifications**
Required Degree(s) in:
• Master’s degree (120 ECTS points) or equivalent academic level in a relevant field (e.g., Computer Science, Data Science, Mathematics, Cybersecurity)

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Work Level
Ph.D
Employment Type
Scholarship
Salary
Annual Salary: Agreed upon with the relevant union Union Affiliation: Danish Confederation of Professional Associations
Valid Until
October 24, 2025
Details
Full-time Duration: 3 years Location Requirement: Mobility stay at TU/e in Eindhoven required. Relocation to Denmark may be required for international candidates.
School / Department / Center / Lab
• DTU Compute • Department of Mathematics and Computer Science
Supervisor(s)
Andrea Burattin Nicola Dragoni
Supervisor Email
[email protected] [email protected]
Technical University of Denmark (DTU)
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