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The University of Manchester is inviting applications for a Post-Doctoral Research Associate to lead the design of next-generation vision processor hardware. This role focuses on near-sensor
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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). Experience with human biomonitoring data or epidemiological cohort data (e.g. birth cohort studies). Familiarity with indoor air quality sensor data and/or suspect/non-target chemical screening datasets
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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: collaborate with leading academic and industrial partners; work with state-of-the-art agricultural robots, advanced sensors, and AI systems; have access to industrial-scale glasshouse facilities and research
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– specifically focusing on “360 cameras” as the main sensor modality. The works will develop multi-session visual SLAM pipelines and feed-forward reconstruction (e.g. VGGT, MapAnything) to project rich 3D
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position combines sensor development, optical interrogation (e.g. OFDR), and data analytics, contributing to the creation of intelligent systems for structural health monitoring and digital twin applications
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling