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reliability by augmenting its outputs with proprietary foundation models when needed. Expected results include identifying Agritech use cases for BitFM, designing and evaluating system architecture under
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measurements, and analyze the impact of network characteristics on system performance. Areas of interest include, but are not limited to: Designing tools to measure and monitor P2P and blockchain network traffic
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in applied optimization, AI/ML, algorithm design (primary); and communication/computing systems (secondary). Prior research experience and publications are a plus. Excellent academic results (First
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will design original AI solutions for the automation of network functionalities to be deployed in next-generation 6G systems. The focus of the studies will be on surpassing practical limitations