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This PhD position presents a valuable opportunity to explore shared control between humans and vehicles utilizing steer-by-wire systems and to investigate how this approach can enhance vehicle
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, especially in nutrient cycling and for tree health, and the interaction between microorganisms and the control of tree and plant diseases. The department offers a creative and stimulating international
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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electronics for space-borne Earth climate observations. With this goal in mind, the PhD project will explore ultra-low-noise detectors and advanced terahertz receiver architectures. Major responsibilities Your
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, and control. WASP is a major national initiative for strategically motivated basic research, education and faculty recruitment. It is by far the largest individual research program in Sweden. Please see
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position for candidates interested in interpretable AI, stochastic optimal control, deep learning and high-impact research in sustainable mobility. About us The position is located at the Systems and Control
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are essential. Excellent work ethic and commitment to the job. Excellent command of English, both written and verbal. Interest in Swedish language and culture is welcome. During the assessment, emphasis will be
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“Quantitative predictions of protein – DNA interactions from high-throughput biophysical binding data”. Sequence specific binding and recognition between transcription factors and DNA control gene expression at