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spent abroad should therefore be expected during data collection periods. The project offers rich opportunities for networking and skillset development, as national and international collaborators with
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opportunities for networking and skillset development, as national and international collaborators with diverse backgrounds are involved in the project. Visits to collaborating institutions should be expected. As
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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science
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. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science, or possibly design or cognitive science as main subject) and one at Tema Technology
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning
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should include publications at international conferences, workshops, and journals. As this research is highly collaborative, you should thrive within and be passionate about contributing to a vibrant
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and data-driven transitions. Compile and analyze data from industry partners and communicate and publish research results in scientific journals and at international conferences. Contribute
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supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ . Your work assignments