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of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University. The research group, which is headed by Jakob Nordström , is also active
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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covers theory and algorithms for goal-oriented, semantics-aware communication that enable efficient, intelligent, and adaptive information exchange in autonomous systems. The particular focus
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the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal hierarchical characterization. The project is mainly computational with
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assistants are needed for the following courses: ETIN35 IC-Project 1, study period 3 and 4 EITA15 Digital Systems, study period 3 and 4 (Helsingborg) EITF70 Computer Organization EITA60 Computer Communication
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collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals highlighting findings
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Doctoral student in Electrical Engineering to the Department of Electrical Engineering (PA2025/3495)
Description of the workplace The Secure and Networked Systems Division within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer
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the granted VR (Swedish Research Council) project (2026-2029), which will include collaboration with partners within the VR network. Work duties You will primarily devote yourself to your doctoral programme
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programs and courses at the undergraduate, advanced, and research levels. The social work program has approximately 1,200 students and is offered in parallel at the Lund and Helsingborg campuses. Duties and
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Description of the workplace The Division of Biochemistry and Structural Biology aims to understand fundamental life processes at the molecular level using experimental and computational methods