FAULT-TOLERANT REMOTE SENSING DATA DISSEMINATION PROTOCOLS FOR CLIMATE CHANGE…

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Computer science » Systems design; Mathematics » Algorithms; Computer science » Informatics; Environmental science » Global change; Engineering » Aerospace engineering. Researcher profile: First Stage Researcher (R1). Position type: PhD Positions. EU funding: Horizon Europe – COFUND Marie Curie Grant Agreement Number 101261439. Keywords: distributed computing, dissemination protocols, swarm intelligence, global change, remote sensing, fault tolerance, intermittent computing Abstract Collecting environmental remote sensing data is key to quantifying and better understanding the impacts of global change. Collecting data in remote ecosystems such as mangrove estuaries, rainforests, deep-water habitats and river flowstreams requires high coverage and spatiotemporal precision. While satellite systems enable high coverage, they lack precise spatiotemporal data collection. Swarms of drones have emerged as a promising way to improve the precision of data collection. However, designing drone swarms as fault- tolerant remote sensing platforms remains challenging. This doctoral project addresses a key research issue for these platforms: fault- tolerant data dissemination. The project will investigate and propose mission-oriented dissemination techniques to enable adaptive sensing data collection ranging from low-latency, fast data collection to partition-tolerant, delay-tolerant remote sensing applications. Context and proposed research Effective environmental data collection and dissem

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درخواست تا 16 نوامبر 2026 (4 روز از امروز) باز است. درخواست را در صفحهٔ رسمی بفرستید؛ PhD Atlas درخواست جمع نمی‌کند.

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فراخوان رسمی: https://euraxess.ec.europa.eu/jobs/467801

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