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across Europe. At the core of EVITA is a Competence and Qualification Framework (CQF) that connects HPC skills, modular training content, courses and personalised learning pathways. The project is also
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is an asset Strong interest in laboratory experimental work Willingness to enroll as PhD-student at Uni.lu Operational Language Requirements: Very good command of English (B2). Good working knowledge
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). The University encourages its staff to learn the other language and provides access to language courses to this end. We offer A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and
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experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Human-AI interaction, human-computer interaction and human factors Reinforcement learning and
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engineering discipline. Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Multi
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contested environments, leveraging Vision-Language-Action (VLA) models, multi-sensor fusion (LiDAR, radar, cameras, IMU), semantic SLAM, and EW-resilient mission planning. The platform will feature modular
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well as downstream verification & validation activities, such as software testing and runtime verification. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv. The successful
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Operational Language Requirements: Excellent command in English (C1) is required In exceptional cases, applicants with a Master's degree in computer science, data science, or a closely related technical field
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professional experience as a Postdoctoral Researcher Strong computational background with proficiency in R and at least one additional scripting language, e.g., Python Solid knowledge of biostatistics Experience
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research infrastructures Comfortable working across disciplines and translating between technical, clinical, and scientific teams Fluency in English (C1) is required; additional languages are an asset