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Field
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. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run of the LIGO Scientific Collaboration. Develop techniques and algorithms to characterize and remove
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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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. The focus is on developing AI-supported, sensor-based solutions for real-time monitoring and optimization of manufacturing processes. These solutions aim to assess process conditions during production
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-deployable microsystems. Responsibilities: Design, develop, and implement a hardware control system to operate the microfluidic system. Integrate custom-designed PCB circuits, sensors, actuators
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comprehensive capabilities in conducting sophisticated fluid dynamics data analysis. This job includes aerospace-related machine learning algorithms. Specific duties include data analysis from wind tunnel
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Applied Sciences has a vacancy for PhD Research Fellow in Semi-Autonomous Teleoperated Robots The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor
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degradation modes. Evaluating suitable sensor technologies and data sources for acquiring relevant metrics. Developing tools and algorithms to automatically analyse sensor data, assess asset condition, and
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gait exoskeleton. The other duties could also include sensor integration, exoskeleton motor control, and programming exoskeleton motors in Arduino etc. Is Time Limited No If Yes, Appointment Length
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nanocomposite and supramolecular materials for next-generation integrated sensor arrays. This role supports innovation in intelligent sensing technologies, contributing to the development of scalable
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of the subject matter in the field of fiber optics; knowledge of issues related to the characterization (experimental analysis) of optical fibers, optical fiber components (including optical fiber sensors), in