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comparable solid background in wireless communication, networked systems, or distributed computing knowledge of autonomous systems, multi-robot coordination, SLAM techniques and experience in software
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related field strong background in distributed systems, real-time computing, or networked control systems knowledge of UAV systems, swarm coordination, or digital twin frameworks experience with programming
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within the SLICE network and in outreach activities targeted at a wide audience. A competitive salary according to MSCA regulations [pdf-Datei] (see page 118ff, https://ec.europa.eu/info/funding
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Code57076 StreetHölderlinstr. 3 Contact State/Province Northrhine-Westphalia City Siegen Website https://networked-embedded.de/ Street Adolf-Reichwein-Str. 2a Postal Code 57068 E-Mail roman.obermiasser@uni
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the full benefit from the network training As secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu
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the Bavarian research network bayklif2 (https://bayklif2.de ) • PhD studies supported by our faculty's structured graduate program (RIGeL) • An outstanding scientific infrastructure, excellent international
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opportunity to be part of the BaySensAI project (https://go.ur.de/baysenseai ) and develop an AI-based prediction and monitoring system for biodiversity data as part of the Bavarian research network bayklif2
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costs will be deducted in accordance with the applicable national regulations. Please find additional information in the Information package for Marie Curie fellows in doctoral networks ( https
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Resilient Communication and Learning-based Control for Embodied Networked Intelligence (6G-life) (ID: TUEILSY-PHD15) Safe and capable humanoids in interaction-rich scenarios (ID: TUEILSY-PHD12) Act Based
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the network training as secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen