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based in the School of Engineering. You will work under the guidance of Tousif Rahman and Prof. Rishad Shafik. For informal queries please contact Dr. Tousif Rahman at: tousif.rahman@newcastle.ac.uk
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application from qualified women. About the position The position involves both teaching and engaging in innovative research projects on tractor autonomy, path-planning algorithms, soil compaction modeling, and
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includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related to applications and applied research
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transparent models. The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well
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. Algorithm Design: Develop and optimize algorithms for sensor fusion, perception, and spatial intelligence, tailoring solutions for specific applications in robotics and healthcare. Prototype Implementation
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. Algorithm Design: Develop and optimize algorithms for sensor fusion, perception, and spatial intelligence, tailoring solutions for specific applications in robotics and healthcare. Prototype Implementation
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conduct experiments that explore novel approaches in bio-inspired AI and sensor technologies, integrating insights from biology and neuromorphic engineering for embodied intelligent systems. Algorithm
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, synthetic aperture radar, and optical spectroscopy, while bringing new capabilities in areas such as innovative sensor development, retrieval algorithms, novel applications, and other forward-looking areas
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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environment-specific algorithms and machine learning approaches. At the end of the project a technology demonstrator will be built using UAV- and USV- mounted radar sensors, and it will be tested in real world