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prediction in distributed charging and energy-management environments as part of the BANNER research project Investigate fault-tolerance and fault-recovery mechanisms for decentralized edge AI hardware
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, and failure-mode prediction in distributed charging and energy-management environments as part of the BANNER research project Investigate fault-tolerance and fault-recovery mechanisms for decentralized
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on What You See: Semantically Safe Robot Interaction (ID: TUEILSY-PHD20240930-SSR) Distributed Multiagent Planning and Control for Large Aerial Swarms in Changing Environments (ID: TUEILSY-PHD20240930-SAS
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Where to apply Website https://career.cispa.de/jobs/phd-positions-in-collaborative-distributed-and-sca… Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Research
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opportunity to be part of the project “Bavarian Artificial Intelligence for Insect Monitoring” (https://go.ur.de/baimo ), which investigates the effects of climate change on insect populations as part of
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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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. The investigation of the temporal and spatial distribution of the exhaust gases in the atmospheric layers after the launch vehicle has passed through is therefore crucial for drawing conclusions about their climatic
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, including rare and extreme events. Quantify flood risk and improve early warning predictability in out-of-distribution conditions (climate change, land cover changes), and use explainable and causal ML
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configurations (residential, commercial, mixed-use) and their interactions with distribution grids Assessing how renewable integration, storage technologies, and demand flexibility affect system performance
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Financing yes Type of Position Full PhD Working Language English Required Degree Master Magister (Masters degree course) Areas of study Marketing, Distribution, Commercial Law, Economic Sciences, Economics