About us

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The  Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

Your role

The PhD student will contribute to the European project AutHUMate by researching adaptive, human-centered interaction strategies for advanced driver assistance and automated driving systems. Based at SnT, the student will develop and evaluate driver-in-context models using multimodal data to assess driver readiness, trust, and appropriate system use. The PhD work will support AI-based adaptive communication and training concepts and include validation in simulator-based and real-world settings. The student will collaborate closely with academic and industrial partners, contribute to cross-work-package integration, and disseminate results through publications and project activities. The successful candidate will join the UBIX Research Group, led by Prof. Raphaël Frank.

You will be required to perform the following tasks:

• Carrying out research in the predefined areas
• Disseminating results through scientific publications
• Communicate and interact with the AuTHUMate project team and report results
• Implement and open-source proof-of-concept software tools

Your profile

Qualification : The candidate should hold an MSc degree or equivalent in Computer Science or any related engineering discipline.

Experience: The candidate should have some knowledge and/or experience in several of the following topics (ordered by importance):

• Automated Driving Systems
• Vision Language Models
• Computer Vision
• Robotics
• Machine Learning
• Communication Systems
• Control Systems

Language Requirements:

Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission - Doctoral Candidates .

We offer

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

How to apply

Applications should include:

• Curriculum Vitae including:
• For each degree received or currently enrolled in, the degree, institution name, city, and country, and date (or expected date) of graduation
• Title and short summary of final thesis
• List of publications (if any)
• Name, affiliation, and contact details of at least two recommenders
• If available, link to GitHub repository including completed open-source projects
• Cover letter presenting your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus
• Transcript of all modules and results from university-level courses taken

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information:

• Contract Type: Fixed Term Contract 36 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg Campus
• Internal Title: Doctoral Researcher
• Job Reference: UOL08015

The yearly gross salary for every PhD at the UL is EUR 41976 (full time).