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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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facilitated more than 120,000 conversations. Designing and running experiments to examine how AI systems shape human beliefs; developing rigorous methods to evaluate and mitigate persuasive risks; and creating
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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representations for decision-making and control of aerial robots, ground vehicles, quadrupeds, and humanoids. We are particularly interested in candidates who can bridge algorithmic innovation with real-system
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. Designs, develops, tests and maintains applications or system programs. Gathers and provides input on functional specifications and requirements. Perform approved research project tasks according to defined
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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, and computer graphics, to identify existing research, methodologies, and advancements. Designing and developing innovative algorithms, models, and techniques for solving complex problems in computer