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test bench development, and algorithm design and optimization. Demonstrated in-depth research and practical experience in distributed sensing principles, system architecture, and advanced signal
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allocation for distributed computing, in particular cache management and job scheduling for modern computing systems. Key Responsibilities: Conduct research on resource allocation and distributed
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allocation for distributed computing, in particular cache management and job scheduling for modern computing systems. Key Responsibilities: Conduct research on resource allocation and distributed
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or distributed computing, algorithm design and analysis, and optimization Relevant research experience with proven records. Independent, highly analytical, proactive and a team player Excellent
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, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel
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algorithms for advanced parallel and distributed computational platforms, prevent scientists from advancing in their domains. The challenges include the facts that (1) microscopy image acquisition generates
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, Electrical Engineering, Computer Engineering, or Computer Science 2. Demonstrated, successful experience (academic or professional) programming in algorithm level languages such as Matlab/Simulink, Python
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establishing a unique 6G distributed MIMO sensing testbed based on SDR technology using open-source tools such as GNU Radio, RFNoC and LabVIEW for real-time FPGA algorithm design operating from 0.4
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systems in firmware algorithm development and simulation. We are also active in R&D using AI in custom electronics as well as in distributed computing. The Pitt ATLAS Group is led by Professors Joe
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experience Algorithm design, numerical analysis, software optimization, software validation techniques, distributed computing, real-time systems, data science, database systems, and/or networking MATLAB