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supervision, you will contribute to the practical development and validation of a robotics monitoring demonstrator. You will work across robotics software, sensor integration, machine learning and data
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Research Assistant will be primarily responsible for the day to day running of (1) a Bruker M4 Tornado+ microXRF machine for analysis of thin section, core and hand samples, and (2) our Multi Sensor Core
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domains and to the optimization of sensor placement across the territory, utilizing artificial intelligence techniques to maximize the sensitivity of the monitoring network with the minimum possible
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improve wind tunnel acquisition systems including hardware DAQ and software in MATLAB, Python, C++, and/or Visual Basic. Schedule, perform (as appropriate), and calculate metrics for sensor
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-tolerant transition-aware control, resilient multi-sensor state estimation, risk- and contingency-aware planning, and runtime assurance frameworks paving the way towards certifiable autonomy. PhD
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the SMR device. - FEM simulation of the acoustic performace of the BAW-SMR device. - Functionalizarion of the surface of the ITO electrode with targeted biomolecules. - characterization of the sensor
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responsibility of the postdoc play an essential role to validate the functioning of this future spatial quantum sensor. Moreover, its expertise in atom interferometry in microgravity will contribute to the tests
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the laboratory of Prof Piotr Dudek at the University of Manchester. The role is directly associated with the EPSRC-funded project on "On-sensor Computer Vision," carried out in collaboration with
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QUALIFICATIONS: • Experience with sensor system integration • Familiarity with experimental data analysis and custom device fabrication for materials characterization. • Ability to work
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offers close collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant