Doctoral Researcher in AI Systems for Trustworthy Multi-Agent Environments
Join a cutting-edge PhD programme at the University of Luxembourg to develop reliable, explainable, and governable AI agents for regulated operational environments.
Best for:Best for computer science graduates with expertise in multi-agent systems, LLM-based agents, and trustworthy AI, seeking a research-intensive PhD with industry collaboration.
Overview
This PhD position at the University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT) focuses on advancing AI systems in high-stakes operational settings. The successful candidate will investigate how multi-agent systems can be designed to ensure trustworthy behaviour, coordination, and explainability in environments where errors carry financial and regulatory consequences. The work combines theoretical research, system development, and empirical evaluation in collaboration with industry partners. The project is led by Prof. Raphaël Frank’s UBIX Research Group and offers a multidisciplinary environment with strong ties to Luxembourg’s energy sector.
What you'll do
- Conduct research on designing reliable, explainable, and governable multi-agent AI systems for regulated operational environments.
- Develop and evaluate proof-of-concept software tools for multi-agent coordination and trustworthiness in high-stakes settings.
- Collaborate closely with academic and industrial partners to integrate research findings into real-world applications.
- Publish research results through scientific journals and conference proceedings, and contribute to project activities.
- Present findings to project teams, industrial partners, and academic audiences.
- Open-source developed tools where applicable to foster broader adoption and collaboration.
Requirements
Degree required: Master of Science (MSc) in Computer Science or a related engineering discipline, or equivalent qualification.
Degree offered: PhD
Language: Excellent command of English (C1 level) is mandatory. Proficiency in French, German, or Luxembourgish (B1 level) is advantageous.
Instruction: English
- Strong programming skills in Python and C/C++
- Experience or knowledge of large language models (LLMs) and LLM-based agents
- Familiarity with multi-agent systems and coordination mechanisms
- Understanding of explainability and interpretability techniques for AI systems
- Knowledge of software architecture and distributed systems
- Experience with knowledge representation, retrieval, and reasoning systems
- Background in evaluation methodologies for LLM-based systems
- Applicants must demonstrate at least B2-level proficiency in the language of their thesis (if applicable).
- No specific nationality or residency restrictions mentioned, but eligibility for admission to the University of Luxembourg’s doctoral programme applies.
Funding & terms
How to apply
Deadline: 2026-10-19
Applicants must submit their application online through the University of Luxembourg’s HR system. The application should include a CV, cover letter, transcript of university-level courses, and a link to a GitHub repository (if available). Early applications are encouraged as they will be processed upon reception. Email submissions will not be considered.
- CV with details of degrees, thesis titles, publications, and GitHub repository links
- Cover letter explaining motivation and alignment with the research focus
- Transcript of all university-level courses and results
- Proof of language proficiency (if applicable)
Contact
HR Department· Recruitment Contact
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