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. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning, and works on
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, and the PhD student will be encouraged to develop original questions and take increasing intellectual ownership of their research agenda. The applicant is also expected to take part in collaborations
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expected to take part in collaborations at both local and global scales, and contribute to the Thermal Ecology Alliance. Therefore, the PhD student will have excellent opportunities to develop a large
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collaborators. To secure and further develop this important collaboration, we are now recruiting an applied researcher with a strong quantitative profile and interest in nutrition, health, or medicine. Your role
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the student to progressively acquire knowledge in scientific methodology, experimental research, data analysis, and scientific communication. As part of your doctoral studies, your duties will include
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upper-secondary qualification EngelskaB/6. Your profile We are looking for a curious, collaborative, motivated person with an interest in aquatic ecosystems and in cooperating between disciplines and with
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models for biological data Work with multimodal and longitudinal health datasets Explore self-supervised and representation learning approaches Collaborate with domain experts in biology, medicine, and
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fusion, uncertainty-aware learning, and distributed collaborative intelligence mechanisms that integrate heterogeneous data sources. The doctoral student is expected to collaborate with other themes and
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an international peer-review system Publications within the project’s research area Training in higher education teaching and learning Experience researching innovation and patenting in historical perspective
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provides scientific advice for fisheries at both the national and international level. The work is conducted in close collaboration with other units at the institute and at the wider SLU Aqua, contributing