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, strengthening, and advancing research in Process Metallurgy. CENE has approximately 400 employees of which 150 are PhD students and a robust cluster of research areas spanning the entire metal and mineral value
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the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
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the sustainable companies and societies of the future. We are hiring a Ph.D. student in process metallurgy who will do research in the field of pyrometallurgy with focus on slag chemistry. The research
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the sustainable companies and societies of the future. The division of EISLAB (Embedded Intelligent Systems LAB) targets research and innovation within the realm of the research subjects Cyber-Physical
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collaboration between Luleå University of Technology and Royal Institute of Technology. The research activities are focused on both the process chain downstream from steelmaking and deal with fossil-free steel
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computing systems, but you will also work closely with other subjects such as cybersecurity, communication and computational systems, cyber-physical systems and information systems. You will initially support
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computing systems, but you will also work closely with other subjects such as cybersecurity, communication and computational systems, cyber-physical systems and information systems. You will initially support
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., information technology, robotic process automation, intelligent interfaces, or collaboration between humans and algorithms towards making informed decisions. We aim for research with a global perspective on which
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at validating experimentally verified physical phenomena using relevant material models, while others are more of material or manufacturing development nature. Educational activities, including international
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between humans and machines in the form of e.g., information technology, robotic process automation, intelligent interfaces, or collaboration between humans and algorithms towards making informed decisions