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Field
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Postdoctoral Scholar to support the Center's mission to develop and exploit novel sensing technologies and the algorithms to analyze their signals for monitoring geohazards. Reporting to the Center Director and
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) models with data-driven models (hybrid modeling) for improved accuracy and generalization. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive
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, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You will also initiate adaptable, IMU-based stimulation control
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wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
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develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has
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subjective assessment. Design and implement machine learning algorithms for real-time prediction of occupant thermal comfort. Analyse physiological signals including skin temperature, skin conductance, heart
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and implement machine learning algorithms for real-time prediction of occupant thermal comfort. Analyse physiological signals including skin temperature, skin conductance, heart rate, and wearable
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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researcher will investigate how AI embedded in physical entities, such as robots, vehicles, or sensors, form representations of space, motion, and context through continuous, multimodal interaction with
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Polarimetry, among others; b) Experience in the application of spectroscopy techniques for testing and validating sensors; c) Experience in material classification using Artificial Intelligence algorithms. 8.2