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, Software Defined Radio (SDR), Software Defined Network (SDN), Network Function Virtualization and Edge-computing systems design. Researchers will carry out research in network systems, with focus on large
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doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his
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evaluate distribution networks in OpenDSS; investigate feeder- and system-level impacts of DERs (e.g., load flow, hosting capacity, voltage regulation). Develop and refine T&D co-simulation platforms (e.g
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develop AI-assisted wireless networking solutions and implement prototypes using software-defined radios, working with graduate students and faculty members at Rutgers CS/ECE and WINLAB. The candidates must
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experts across system software, power management infrastructure, performance characterization, networking, and novel computer architectures and accelerators. It will also involve collaboration with leading
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, human-systems interactions, networks science, information, decision complex networks, dynamic data-driven application systems, the science of information computation and fusion, systems and software
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goals. Responsibilities include: Developing software infrastructure to conduct online experiments Conducting large-scale online behavioral experiments with human participants Developing formal cognitive
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that are broadly applicable across the physical sciences but applied initially to x-ray characterization needs. They will publish results in high impact journals, present at conferences and work with the software
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, networking, and leadership. Position Requirements Required Knowledge, Skills, and Experience: This level of knowledge is typically achieved through a formal education in economics, operations research, public
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or more of the following: Experience with large-scale molecular dynamics (MD) simulations using software such as LAMMPS. Experience in handling and data analysis generated from multi-million to multi