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exchange, public engagement or outreach activities related to communication, ageing and cognitive neuroscience Promotes equality and values diversity acting as a role model and fostering an inclusive working
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estimation algorithms that operate reliably in challenging environments (e.g., low texture, illumination variation, dynamic scenes, or sensor degradation). The research will integrate model-based estimation
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to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing
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. Long-horizon and safety-aware planning under uncertainty. Function 2 2. Learning-Based Perception and Control Multi-modal and foundation-model-based approaches for robotics, including: Multi-modal
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of national and international funding agencies, as well as from industry. Job description We are seeking an ambitious candidate to develop Machine Learning models and frameworks for time series
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, trustworthy AI systems that boost productivity, resilience, and environmental performance. The hub-and-spoke model connects universities as research “spokes” to address real-world challenges across priority
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synthesis and procedural world-building AI-assisted asset creation and semantic scene enrichment Synthetic data generation for perception and simulation Embedding real-time inference within rendering
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Norway’s research group for User Perception and Engagement in XR Experiences. ND conducts research in networks and distributed systems of all scales, multimedia and AR/VR/XR systems, robotics and machine
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and Distributed Systems Research Group (ND) with co-supervision from IFI’s Machine Learning section and the University of Inland Norway’s research group for User Perception and Engagement in XR