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                Field
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                . Design, install, program, configure and maintain new or existing technology systems and services for a diverse customer base within the University community. Serves as a senior level technical support to 
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                to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required 
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                Computing Overview Rutgers, The State University of New Jersey, stands among the nation’s highest-ranked, most diverse public research universities. The oldest, largest, and top-ranked public university in 
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                subject matter expert at this level. Using deep expertise in high-performance computing (HPC) systems, including resource managers, schedulers, and parallel file systems (e.g., Lustre), the IT Security 
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                exploring them. Basic data preprocessing, feature engineering, and model evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing 
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                languages, program synthesis, probabilistic programming, and programming languages for emerging areas such as quantum computing and AI. Systems, including distributed and operating systems, machine learning 
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                , debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient 
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                to well-known open-source projects or a personal portfolio of impactful open-source research code. Experience with large-scale distributed training and high-performance computing (HPC) environments. 
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                to operate confidently in both global and local settings. In parallel, the role supports international student recruitment and student body diversification by working with upstream stakeholders—such as 
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                learning, AI engineering, AI infrastructure, hybrid cloud computing, and parallel programming with GPUs, to work at the Institute for Artificial Intelligence and Data Science (IAD). As a Senior Research