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in the area of control and automation for energy systems. The doctoral student will be co-supervised by Dr. Efe Balta (inspire AG) and Prof. John Lygeros (IfA). The Automatic Control Laboratory (IfA
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. The doctoral student will be co-supervised by Dr. Efe Balta (inspire AG) and Prof. John Lygeros (IfA). The Automatic Control Laboratory (IfA) in the Department of Information Technology and Electrical
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expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation, mapping surface changes due
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Intelligent Thin Film Manufacturing; routes to responsive slot die coating. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Jonathan Howse Application
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have designed and introduced new control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the
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Prof Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This research project focuses on the development of methods for intelligent wildfire detection and localisation
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way. We are dedicated to current research questions on automated and cooperative driving and combine a wide range of competencies in the fields of sensor technology, communication and artificial
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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Job title: Assistant Professor in Signal and Image Processing or Robotics School: School of Engineering & Physical Sciences Institute: Institute of Sensors, Signal and Systems Grade and Salary
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functional outcomes. In parallel, you will develop new sensors for intracellular potassium concentration leveraging AI based protein design algorithms. Techniques used are Biomolecular NMR spectroscopy and