Raphaël Frank

The University of Luxembourg, a leading international research university, is offering a PhD position in Autonomous Driving Systems within the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The successful candidate will join the UBIX Research Group, led by Professor Raphaël Frank, and contribute to the European project AutHUMate. The research focuses on adaptive, human-centered interaction strategies for advanced driver assistance and automated driving systems, aiming to develop and evaluate driver-in-context models using multimodal data to assess readiness, trust, and system use. Based at SnT, the doctoral researcher will support AI-based adaptive communication and training concepts, with validation in both simulator-based and real-world settings. The role involves close collaboration with academic and industrial partners, cross-work-package integration, and dissemination of results through scientific publications and project activities. The research environment is highly interdisciplinary, with opportunities to engage in areas such as network security, information assurance, model-driven security, cloud computing, cryptography, satellite systems, vehicular networks, and ICT services. Applicants must hold an MSc degree or equivalent in Computer Science or a related engineering discipline. Experience in automated driving systems, vision language models, computer vision, robotics, machine learning, communication systems, and control systems is highly valued. Language proficiency at B2 level or higher is required for the thesis language. The University of Luxembourg offers a modern, dynamic, and international environment, with high-quality equipment, close ties to industry, and a unique urban campus. The yearly gross salary for PhD researchers is EUR 41976 (full time), and the contract is for 36 months. To apply, candidates should submit a CV (including academic history, thesis summary, and publication list), contact details for at least two recommenders, a cover letter outlining motivation and fit, transcripts, and optionally a GitHub link to open-source projects. Applications must be submitted online via the HR system; email applications will not be considered. Early applications are encouraged as review is ongoing. The University promotes an inclusive culture and welcomes applicants from all backgrounds.

The University of Luxembourg is recruiting a Doctoral researcher in AI Systems within the Interdisciplinary Centre for Security, Reliability and Trust (SnT), a leading research and innovation centre working on secure, reliable, and trustworthy ICT systems and services. This PhD project is part of a large industrial research collaboration with a major Luxembourgish energy utility. The research focuses on making AI agents reliable, explainable, and governable in a regulated operational environment. The work examines how teams of bounded-expertise agents can coordinate, resolve disagreement, share reasoning under governed conditions, degrade gracefully when components are unavailable, and make machine reasoning understandable to non-technical professionals. The project combines building real systems with empirical evaluation in operational settings, in collaboration with academic and industrial partners. The doctoral researcher will join the UBIX Research Group led by Prof. Raphaël Frank . Tasks include carrying out research in the predefined areas, disseminating results through scientific publications, interacting with project and industrial partners, reporting results, and implementing and evaluating proof-of-concept software tools, with open-source release where possible. Eligible backgrounds include Computer Science or a related engineering discipline. The ideal candidate should have experience or strong interest in large language models and LLM-based agents, multi-agent systems, explainability and interpretability, software architecture and distributed systems, knowledge representation and reasoning, evaluation of LLM-based systems, human-computer interaction, and trustworthy AI / AI governance / regulation. Strong programming skills in Python and C/C++ are required. English at C1 level is required, and French, German, or Luxembourgish at B1 level is an advantage. Applicants must also demonstrate at least B2-level proficiency in the language of their thesis. Funding: This is a full-time fixed-term doctoral contract for 36 months with a yearly gross salary of EUR 44,531. How to apply: Submit your application online via the university HR system only. Email applications will not be considered. Include a CV with degree details, thesis title and summary, publication list if available, a GitHub link if available, a cover letter, and transcripts of university-level courses. Early application is encouraged because applications are processed as they are received. Location: Kirchberg Campus, University of Luxembourg, Luxembourg.

The University of Luxembourg is advertising a Doctoral researcher in Learning AI Agents within the Interdisciplinary Centre for Security, Reliability and Trust (SnT), one of Europe’s leading research centres for secure, reliable, and trustworthy ICT systems and services. The position is based at the Kirchberg Campus in Luxembourg and is part of the UBIX Research Group led by Prof. Raphaël Frank . This PhD is embedded in a large industrial research collaboration with a major Luxembourgish energy utility. The project investigates how organisations can keep meaningful control over AI agents that continuously learn from users and evolve in operational settings. The research combines human-AI interaction and AI control/safety : on the interaction side, the student will study when an agent should take initiative, how it should present choices without overwhelming users, and how it can support human judgment rather than replace it. On the control side, the project develops methods for detecting behavioural drift in learning agents, measuring deviation from a validated baseline, and restoring trusted behaviour without losing useful improvements. The work is strongly interdisciplinary and will involve system building, empirical evaluation with real users in industrial environments, and close collaboration with academic and industry partners. The student is expected to disseminate results through scientific publications and project activities, and to implement proof-of-concept software tools that may be open-sourced where possible. Ideal profile: MSc degree or equivalent in Computer Science or a related engineering discipline; strong analytical and programming skills (especially Python and C/C++); interest or experience in LLMs and LLM-based agents, human factors, reinforcement learning from human feedback, drift detection, statistical anomaly detection, socio-technical studies, and trustworthy AI governance. Excellent English is required, and knowledge of French, German, or Luxembourgish is an advantage. Applicants must also satisfy doctoral language requirements (B2 level in the thesis language). Funding and contract: fixed-term doctoral contract for 36 months, full-time (40 hours/week), with a yearly gross salary of EUR 44,531 . Application: submit a CV, degree details, thesis title and summary, publication list, GitHub link if available, cover letter, and university transcript. Apply online via the HR system; email applications are not accepted. Early applications are encouraged because applications are reviewed upon receipt.