13 optimization-nonlinear-functions PhD positions at Lulea University of Technology in Sweden
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electron microscopy, mechanical testing and theoretical modelling work. You will optimize ultrasonic treatment conditions, characterize behavior of single-, bi- and polycrystalline structure and model
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in multilayer electronic devices -Identifying/optimizing novel polymers and photosensitive materials for additive manufacturing -Developing femtosecond/picosecond laser-based micro-drilling and
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, electromagnetics, optimization, machine learning, and networking. Strong documented experience in these areas is commendable, particularly by having published your work. Candidates should have an excellent mastering
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geometallurgical methods, we strive to create efficient and sustainable exploration and extraction methods to make optimal use of mineral resources, especially in connection with the fact that deposits consisting
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, scalability, autonomy and optimization are made with respect to the fact that the systems will execute in space. In addition, work is planned in path-aware networking so that traffic avoids nodes or links
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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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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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of moments, of electromagnetic problems. We use established tools but perform the majority of the scientific work in own software based on Matlab or C++. We offer applicants the opportunity to deepen
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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
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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