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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
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of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as
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. Rocío Mercado Oropeza, applies machine learning to molecular engineering problems in life sciences and drug discovery, and is based in the Division for Data Science and AI within the CSE Department
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on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
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for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
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Machine Elements at LTU with close collaboration with Royal Institute of Technology (KTH), Vattenfall AB and LKAB. There is potential for both patents and new product development for polymeric materials as
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of Computer Networks and Systems within the Department of Computer Science and Engineering . Within the Division we have four faculty members, four postdocs and eleven PhD students who are engaged in research
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multimodal machine learning. Admission requirements The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240 ECTS credits
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degree (at least 240 higher education credits) in Energy Engineering, Computer Science, Robotics, or Electrical and Computer Engineering. A four-year natural science degree with technical content
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study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. The Machine Learning Group at Luleå University of Technology