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. The work involves areas such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research is carried out in
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: UPPRAISE and MEDUSA. These projects aim to advance intelligent, adaptive, and sustainable industrial systems. The work involves areas such as AI-assisted automation engineering, digital twins, semantic
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robots operating in cluttered and semantically complex environments. -Advance ground-aerial collaborative autonomy methods for resilient multi-modal navigation and situational awareness. -Mission-specific
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can
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environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based traversability-aware path planning and safe trajectory generation - Resilient mission design for
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Box 118 22100 Lund Web Page: http://www.maths.lu.se/english/
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web-based, interactive visualizations. Eligibility Requirements Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall
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classification and multi-layered environment mapping -Digital twin generation for natural environments -Semantic scene-understanding in natural environments for robust decision-making -Learning-based
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suitable backend infrastructures to serve web-based, interactive visualizations. Eligibility Requirements Eligible to be employed are those who have completed a doctoral degree in Computer
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of visualization principles, techniques and visual analytics tools, including provisioning suitable backend infrastructures to serve web-based, interactive visualizations. To the extent of maximal 20% of the working