504 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at Carnegie Mellon University
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About the role The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD
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curious to deliver work that matters, your journey starts here! The Human-Computer Interaction Institute (HCII) is a living laboratory where we investigate the relationship between computer technology
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with researchers, government customers, and other engineers, and contribute to technical strategy for the lab. Required Qualifications B.S. in Computer Science, Electrical Engineering, Statistics
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challenges the curious to deliver work that matters, your journey starts here! The Computing Services central IT division provides services that have a strategic impact on university goals. We make service
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following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC
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curious to deliver work that matters, your journey starts here! The College of Engineering at Carnegie Mellon is a world-class engineering college recognized for excellence, innovation, and the societal
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models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer