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Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a
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. With incredible resources at your disposal, you will be able to impact, contribute and advance these exiting domains. Experience in low-latency RPC, network stacks, distributed systems and host data
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strong competences in ecology, excellent analytical skills, and proficiency in R (or equivalent). Experience within one or more of the following areas is advantageous: insect ecology, species distribution
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academic excellence and close industrial collaboration. We offer: A research environment focused on distributed AI systems, digital twin architectures, and scalable software infrastructures for energy
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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of cyber-physical systems is available from March 15 th or as soon as possible thereafter. The employment will be for a period of 12-24 months. The candidate will be part of the section Distributed, Embedded
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6 Feb 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Distributed, Embedded and
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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contribute to evidence‑based advice for authorities and society. This is a permanent position starting on 1st of September 2026, or as soon as possible thereafter. Job description The Department of Ecoscience