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-designed nano-bainitic steels. This PhD position is part of the EU RFCS project “AUSNANITE”: "Low Carbon Footprint of Eco-Designed AUStempered NANostructured Bain/FerrITE Steels", a collaborative initiative
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, you are expected to perform both experimental and theoretical work as well as communicate your results at national and international conferences, in scientific journals and with stakeholders and
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this work, you will be working as part of a
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this work, you will be working as part of a
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this work, you will be working as part of a
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this position, you will be working as part of a
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materials science. Read more at WISE Duties As a PhD student you are expected to perform both experimental and theoretical work within your research studies. Most of your working time will be devoted to your
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across Europe. While the work is largely independent, you will work closely with LTU researchers and global tech partners for guidance and impact. Duties As a PhD student, you work towards a Doctoral
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build the sustainable companies and societies of the future. Our machine learning group is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual
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PhD student in Information systems with a focus on Participatory Design and Living Labs. Subject description The research subject Information systems focuses on the design and use