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September 11, 2025

**Job Description**
This Ph.D. position focuses on advancing process mining and data-driven intelligence within cybersecurity. The successful candidate will develop novel methods in streaming process mining and artificial intelligence to address real-world cyber threats, collaborating with leading researchers and industry partners to shape the future of secure digital systems and build a strong research profile.

**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:
• Computer Science
• Data Science
• Related Engineering Field

**Experience**
Other:
• A two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree is required for enrollment.
• Applications may be submitted prior to obtaining a master’s degree, but the position cannot commence until the degree has been received.

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Experience
Other: • A two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree is required for enrollment. • Applications may be submitted prior to obtaining a master's degree, but the position cannot commence until the degree has been received.
Work Level
Ph.D
Employment Type
Scholarship
Salary
Union Affiliation: Danish Confederation of Professional Associations
Valid Until
October 24, 2025
Details
Full-time / Temporary Duration: 3 years Location Requirement: Mobility stay at TU/e in Eindhoven Brief location description: Campus-based
School / Department / Center / Lab
• DTU Compute • Department of Mathematics and Computer Science
Supervisor(s)
Andrea Burattin Nicola Dragoni
Supervisor Email
andreabu@dtu.dk nico@dtu.dk
Technical University of Denmark (DTU)
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