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of the technology in the companies in Software Center. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300 employees from more than
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every year since 2016 according to the Global Destination Sustainability Index. The four research divisions at our department are essential scientific facilitators in a vibrant ecosystem of software
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
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build the sustainable companies and societies of the future. At the EISLAB division you find Cyber-Physical Systems (CPS) who focuses on integrated software and application architectures with
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include: Developing the model using open-source Python software Planning and conducting experiments Analysing teardown reports and experimental data Validating and improving the model Publishing results in
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Sweden and beyond. About WASP Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated
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to the Internet and include protection of software, data, and hardware. Project description Our project is targeting cybersecurity threat prediction using eXplainable AI. You will work with colleagues in our