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Field
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safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based
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assessed by means of a high-fidelity end-to-end simulator. The current design of the NGGM DFAOCS could benefit from the latest advances in control theory and the use of a robust control framework in which
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/ duties You will: Design, set up and deliver robust measurements of plant-generated acoustic emissions under controlled stress conditions. Undertake acoustic and vibroacoustic measurements including
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informed by world class research. IGH aims to support the development of robust solutions to aspects of the world’s major global health challenges through scholarly outputs, education, public engagement
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noise to define and compute relevant noise metrics for PAM performance and interpretation. Significant duties include curating and quality-controlling large passive acoustic datasets, validating detector
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measurement platform capable of quantifying more than one hundred cytokines in biofluids, providing a cost-effective, robust and scalable alternative to current cytokine assays with clear translational
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, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models
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systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents for autonomous vehicles or robots operating in dynamic
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environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional
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research in underwater optical wireless communication (UOWC). Recent studies in controlled in-lab testbeds have shown the possibility of a Gbps data rate. But achieving reliable, robust and resilient data