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% of the regular working time. The position is suitable for part-time employment with a minimum of 32 hours per week. The scientist will be part of the research group CEA. The group develops sensor- and model-based
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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events. You will also be involved in the re-deployment of sensors within the Desert Fireball Network. A central aspect of the role is translation and engagement. The SDA-PD programme has deliberately
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reconstruction, and analysis of human movement, gait, posture, or motor behaviour. Experience integrating multimodal datasets (e.g., video, IMUs, EMG, force plates, wearable sensors). Familiarity with modern deep
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replanning of combined TN-NTN networks based on input from experimental data of monitoring sensors WHAT WE ARE LOOKING FOR We are looking for enthusiastic candidates to perform research in the domains above in
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Reference Number BAP-2026-500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource
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knowledge of artificial sensors and neural networks. You will have access to state-of-the-art facilities at Bristol Robotics Laboratory, the largest centre for multidisciplinary robotics research in the UK
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universities and focused instruction by ICFO professors, in a stimulating, international and interdisciplinary environment . PhD-students have the opportunity to take advantage of our network of excellence
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robotics using Artificial Intelligence (AI) and advanced sensor fusion techniques. The research will investigate how UWB measurements can be combined with data from onboard sensors such as inertial
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sciences. This includes the integration of various types of field-based and sensor-based data (soil, acoustic, images, and species data), as well as historical maps and satellite- and drone-based data. By