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Computer vision for Physical AI Vision-language(-action) and visual foundation models, multimodal learning Generative AI methods for the aforementioned fields The successful candidate will lead a new
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and Artificial Vision, UR 7535) is a research unit of the University of Burgundy Europe (UBE), recognized for its work at the interface between computer vision, image processing and control of physical
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, including rigorous experimental design, model evaluation, and scientific publication. Expertise in at least one relevant area, such as time-series modeling, computer vision, representation learning, NLP
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closely related discipline is essential. A PhD in a relevant discipline is desirable. AI and data expertise: Experience in machine learning, computer vision and/or data analytics, with an ability to develop
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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning or a closely related
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. The research project focuses on the design, development and validation of Artificial Intelligence and Machine/Deep Learning models applied to healthcare, with particular reference to computer vision applied
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in machine learning, computer vision, neural networks, natural language processing, agentic AI, algorithms, and statistical physics etc. It is ideal for researchers who love science and engineering but
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Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image processing, 3D geometry, or computer vision; -Processing and analysis
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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to begin August 2027. We seek excellent candidates in all areas, with specific needs in AI/machine learning, AI security, and computer systems support for AI. A demonstrated ability to collaborate with