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/algorithmic modelling. Experience with multidisciplinary IoT systems, including low‑power sensor networks and power‑constrained device architectures. Hands‑on experience with experimental testing in
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of a diverse set of people from different nationalities, backgrounds, and fields. As a PhD student working with us, you receive the benefits of support in career development, networking, administrative
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on enhancing the reliability of data collected from various sources such as river flow sensors, rainfall gauges, and hydraulic models used to simulate water-related climate changes. In Structural and
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Engineering and will become part of the national graduate school FOFOS – Research School for the Transformation of the Public Sector (https://www.mdu.se/forskning/forskarskolor/forskarskolan-fofos ). FOFOS is
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acoustic sensors. Integrating the models into a Model-Based Systems Engineering (MBSE) framework to ensure reusability and scalability. To achieve this, you will work with high-fidelity simulation tools
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: Support the implementation and maintenance of field sites monitoring GHG emissions and water fluxes using automated chamber systems and IoT sensor networks. Assist in the calibration, deployment, and
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sensor, multi buoy array deployed on Lake Victoria. You will explore the field and coordinate with local partners; oversee the integration, testing and scientific readiness of the sensor suite; support
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technology will be applied to dark matter searches, and there will be opportunities to participate in them. Astrocent (https://astrocent.edu.pl ) was established on 1 July 2018 within the framework
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contribute to research on secure and efficient AI for embedded cyber-physical power electronic systems. The main activities include: Analyzing how disturbances or cyberattacks, such as sensor manipulation
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networks, Internet of Things sensors, and analytics platforms that gather data from those infrastructures, as well as telecommunications networks. To fully support the operation of cities, telecommunications