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Artificial Intelligence● OpenOpen until filledPreview

PhD Position in Trustworthy Multimodal World Models for Critical Systems

Explore robust AI-driven simulations for critical systems using vision, graph, and tabular data.

Best for:Best for computer science PhD candidates with expertise in AI, machine learning, and programming, seeking to contribute to trustworthy AI systems for critical applications.

University of Luxembourg · Luxembourg, Luxembourg · R1 · First-stage researcher
More professors at University of Luxembourg
multimodal world modelscritical systems simulationgenerative AIAI robustnessAI evaluationcomputer vision
Deadline
Until filled
rolling
Funding
—
Start date
flexible
Full-time
Location
Luxembourg
Luxembourg

Overview

This PhD position focuses on developing trustworthy multimodal world models for critical simulations, combining vision, graph, and tabular data. The research will address foundational and generative AI techniques, with a strong emphasis on robustness and evaluation. The successful candidate will join the University of Luxembourg’s research team, contributing to cutting-edge work at the intersection of AI and critical systems. The role requires a strong background in computer science and proficiency in programming, with an interest in advancing AI reliability for high-stakes applications.

PhD in AItrustworthy AImultimodal datacritical systemsgenerative modelsAI robustnesscomputer visiongraph neural networks

What you'll do

  • Develop trustworthy multimodal world models integrating vision, graph, and tabular data for critical simulations.
  • Conduct research on robustness and evaluation methodologies for AI-driven systems.
  • Implement and test AI models using advanced programming and machine learning techniques.
  • Collaborate with interdisciplinary research teams to advance AI reliability in high-stakes applications.
  • Publish research findings in peer-reviewed conferences and journals.
  • Present research progress at internal and external academic events.

Requirements

Degree required: Master of Science (MSc) in Computer Science or a related field

Degree offered: PhD

Language: English; proficiency required for academic communication and collaboration

Instruction: English

Required skills
  • Strong programming skills (e.g., Python, Java, C++)
  • Expertise in machine learning and AI techniques
  • Experience with computer vision and data integration
  • Background in graph data analysis or related fields
  • Familiarity with AI robustness and evaluation methodologies
Nice to have
Experience with generative AI modelsKnowledge of simulation and modeling techniquesPublication record in AI or related domainsProficiency in data visualization and analysis tools
Eligibility
  • Open to international applicants
  • No specific residency or nationality restrictions mentioned

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
—

How to apply

Applicants should submit their CV, cover letter, and research statement via the manual application process. Additional documents may be requested based on the application review.

Documents required
  • CV
  • Cover letter
  • Research statement
✉Apply by email
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