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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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of Computer Science and Engineering (CSE)Chalmers University of Technology University of Gothenburg You will be part of the Computing Science Division The appointed candidates will also join a vibrant community of over
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research and modelling approaches, and in close collaboration with relevant stakeholders.Achieving our vision is based on creative collaborations within the framework of a good and equal working environment
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the vision: “accelerate sustainable transition through science-based life cycle action.” Our goal is to advance the field of life cycle thinking. In this important role, you will work closely with colleagues
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passionate about sustainable development and that wants to join a highly motivated team driving towards the vision to Accelerate sustainable transition through science-based life cycle action and our aim is to
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systems. Our work spans the full development cycle, from quantum device design and nanofabrication to low-temperature characterization and quantum measurements. You will join the Quantum Computing Group
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vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering
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(Master’s) level (or equivalent). By the start of enrollment in the doctoral program, the candidate must hold a Master’s degree, including a Master’s thesis equivalent to at least one term (30 ECTS credits
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challenges, and we are currently moving the code to a new python based High Performance Computing enabled modelling framework. This is an exciting opportunity to contribute to a high-impact scientific codebase