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Publisher
source

University of Luxembourg

PhD in Trustworthy World Models for Critical Systems University of Luxembourg in Luxembourg

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Luxembourg

University

University of Luxembourg

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Information Technology
Computer Vision
Monte Carlo Simulation

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About this position

The University of Luxembourg is advertising a PhD in Trustworthy World Models for Critical Systems within the Interdisciplinary Centre for Security, Reliability and Trust (SnT) and the SERVAL research group. The project sits at the intersection of generative AI, multimodal machine learning, trustworthy AI, and physics-informed learning, with a strong emphasis on safe deployment of AI systems in real-world environments.

The doctoral researcher will explore foundation machine learning topics, design new architectures and training algorithms, implement world models for multimodal simulation, and evaluate trustworthiness in critical settings. The thesis topic is framed as “Exploring Trustworthy World Models for multimodal vision-graph-tabular settings” and includes data-driven and physics-informed approaches for tasks combining images, text, graph data, and tabular data. Example application areas include flooding, cancer, and power grids.

The successful candidate will contribute to both fundamental research and practical software platforms and demonstrators, working in collaboration with industrial and public-sector partners. The broader research environment at SnT focuses on secure, reliable, and trustworthy ICT systems and services, with active work in AI security, robustness, evaluation, benchmarking, and testing, as well as AI applications in healthcare, energy, and finance.

Eligibility and profile: the post seeks a candidate with a Master in Computer Science. A background in machine learning or computer vision is an asset. The university requests strong programming and analytical skills, familiarity with modern machine learning and generative AI, and good personal qualities such as commitment, teamwork, a critical mind, and motivation. Industry experience in ICT for energy or healthcare is considered advantageous. Applicants must also demonstrate at least B2-level proficiency in the language of their thesis.

Funding and appointment: the post is a fixed-term doctoral contract for 36 months at full-time (40 hours/week). The advert does not specify stipend or tuition details in the provided text.

Application: submit a CV and cover letter through the university’s online HR system. Applications by email will not be considered, and early application is encouraged because applications are reviewed on receipt.

Location: Kirchberg Campus, University of Luxembourg, Luxembourg.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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