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interdisciplinary environment with ambitious and collaborative colleagues and access to research activities spanning electronics, electrical energy technology, biomedical engineering, signal processing, communication
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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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to think independently, is under threat from growing reliance on artificial intelligence (AI) technology. While designed to assist, AI recommendations may inadvertently impede cognitive reasoning and steer
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
first ultra-lightweight drone transient electromagnetic (TEM) system for high-resolution subsurface mapping. The project combines novel instrumentation, advanced signal processing, real-time physics-based
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. The section also hosts research in areas including natural language processing and trustworthy AI, human-centred computing, software engineering, and distributed and interactive systems. This breadth supports
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chemistry. In the application, please indicate which position you are applying for. The successful candidates will be involved in materials crystallography research in collaboration with other members
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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of the research within Operations Management including funding acquisition. Must have proven scientific competences within agricultural engineering, automation, signal processing, as well as data processing and
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is critical for projecting future sea-level rise and the ice sheet's capacity to store meltwater. You will analyze airborne radar data collected since the early 1990s, focusing on how the radar signal