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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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the area of control and automation of industrial processes. They are supervised by Prof. John Lygeros and Dr. Efe Balta from Inspire AG in collaboration with Prof. Alisa Rupenyan from the Zurich University
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accurately measure external forces during operation. Understanding and accounting for these external forces is critical to achieving high stiffness by control, enhancing performance during milling and drilling
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can be leveraged for input, interaction, and adaptive control in MR environments. Central challenges include signal denoising, signal processing, robust event detection, and modeling shifts across
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. Knowledge of telescope control systems and astronomical data formats. Familiarity with radio astronomy, signal processing, or related scientific domains. Familiarity with the research environment. Workplace
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automation Develop embedded control systems and support real-time system feedback integration Collaborate with bioengineers to ensure functional compatibility and safe operation Support system validation
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natural language processing to algorithmically detect hate speech across a variety of online venues (newspaper and social media). To do so, we need an up-to-date, high-quality corpus of training data. Job
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multiphase fluid phenomena, such as bubble and droplet dynamics and the resulting fast flows. One of our key objectives is to control bubble oscillations to exploit their energy-focusing characteristics in
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reputation for carefully designed and precisely controlled experiments, high quality temporally and spatially resolved field experiments using particle image velocimetry combined with synchronised measurements
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systems traditionally rely on centralised control and human-in-the-loop monitoring of its moving parts. However, this requires large amounts of resources for the network operation. Operators, responsible