PhD Monitor
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Computer Science● OpenOpen until filledPreview

Doctoral Researcher in Human-Computer Interaction

Fully funded PhD position focusing on AI-driven social engineering, cybersecurity, and human-computer interaction.

Best for:Best for candidates with a background in computer science or cognitive science interested in the intersection of AI, cybersecurity, and human-computer interaction.

University of Luxembourg · Luxembourg, Luxembourg · R1 · First-stage researcher
More professors at University of Luxembourg
Human-Computer InteractionCybersecurityArtificial IntelligenceSocial EngineeringPhishing DetectionHuman-Subject Research
Deadline
Until filled
rolling
Funding
Salaried
€44.5k/yr
Start date
flexible
Fixed-term
Location
Luxembourg
Luxembourg

Overview

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is seeking a doctoral researcher to join the TruX Research Group. This project investigates the intersection of AI, cybersecurity, and human behavior, specifically focusing on the detection and generation of social engineering attempts. The successful candidate will design and conduct human-subject studies to understand how users interact with AI-generated threats and develop tools to improve end-user education. The position offers an opportunity to contribute to high-impact research in a dynamic, international environment.

PhDCybersecurityAIHCISocial EngineeringPhishingLuxembourgSnT

What you'll do

  • Conduct original research at the intersection of Artificial Intelligence and Cybersecurity.
  • Design, implement, and execute human-subject studies to analyze user interaction with AI systems.
  • Develop tools for the detection and mitigation of AI-generated social engineering attempts.
  • Disseminate research findings through high-quality scientific publications and international conference presentations.
  • Contribute to national and international research collaborations.
  • Assist in the supervision and mentoring of BSc and MSc students.
  • Support the organization of workshops, demonstrations, and shared research tasks.

Requirements

Degree required: Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, Computational Cognitive Science, Data Science, or a closely related field.

Degree offered: PhD

Language: B2-level proficiency in the language of the thesis.

Instruction: English

Required skills
  • Solid background in machine learning and cybersecurity.
  • Proficiency in at least one major programming language, such as Python.
  • Motivation to publish research in leading international venues.
  • Ability to conduct research in an interdisciplinary team.
Nice to have
Prior experience or interest in phishing identification and anti-phishing training.Experience with human-subject research, including statistics and data collection.Familiarity with deep learning frameworks and modern NLP toolkits.Experience in automated software engineering.
Eligibility
  • Applicants must be citizens of EU/EEA/EFTA countries, NATO nations, NATO Indo-Pacific Partners (Australia, Japan, South Korea, New Zealand), or Ukraine.

Funding & terms

Type
Salaried
Amount
€44.5k/yr
Duration
3 years
Programme
University of Luxembourg
University of Luxembourg

How to apply

Applications must be submitted formally through the university's online HR portal. Please ensure your application includes a CV, a research statement, and academic transcripts for both Bachelor's and Master's degrees. Email applications will not be considered.

Documents required
  • CV
  • Research statement
  • Bachelor's transcripts
  • Master's transcripts
↗Apply on site

Contact

TB
Prof.
Tegawendé Bissyandé
Interdisciplinary Centre for Security, Reliability and Trust (SnT)
Lab
TruX Research Group
University of Luxembourg
Luxembourg
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