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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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for low-power DC supplies with a very high efficiency and a very wide range of input voltages. Such supply systems are required for applications such as supplying actuators and sensors in facility
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an AI-powered decision-support system for geohazards. The position will contribute to advancing earthquake forecasting and risk management and improve our ability to mitigate induced seismicity in real
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multiple tasks and priorities. Analytical mindset with the ability to track performance, interpret data, and improve processes. Experience working with CRM systems and managing pipelines is an advantage
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The power system is changing, largely driven by the energy transition and climate change. The large shares of renewables, both centralized and distributed, are posing new challenges to system
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The power system is changing, largely driven by the energy transition and climate change. The large shares of renewables, both centralized and distributed, are posing new challenges to system
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with seismic or fibre-optic sensing data is an asset Ability to work independently and lead research tasks within a collaborative environment Excellent communication skills in English Workplace Workplace
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, PorePy, or similar) Programming skills (Python, MATLAB, or similar) Experience with field data and/or underground experiments is an advantage Ability to work independently and lead research activities
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
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numerical modelling tools Programming skills (Python and/or matlab required) Willingness to participate in underground field campaigns Ability to work in an interdisciplinary and collaborative environment