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position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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rapidly evolving areas such as autonomous systems, data-driven modeling, learning-based control, optimization, complex networks, and sensor fusion. Research at the division is characterized by close
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biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data driven. Will you be part of that change? Then join us
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. The position is particularly suitable for candidates with strong skills in applied mathematics, control, physics, or electrical engineering, and an interest in dynamic systems and modelling. Experience in system
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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems
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position at KTH will focus on optimizing security and performance in different control architectures. We will pursue control-oriented system/attacker modeling, multi-layer detection of cyberattacks, and game
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the environment, and how they control navigation, hunting, and communication behaviours. The candidate will collect and process the retinal and optic lobe tissue from each animal. They will then work with
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experimental biology with enabling technologies. About the research project The Doctoral student project will design platforms that combine immunosensing with precisely controlled environments to dissect immune