376 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Carnegie Mellon University
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strong background with hands-on experience solving problems in one or more of the following technology areas: Applied Machine Learning and AI: Research and implement machine learning principles, techniques
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, the Entertainment Technology Center, the Integrated Design, Arts and Technology program, and the University Sustainability Initiative. CMU’s University Libraries team is seeking a detail‑oriented, customer‑focused
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Malware Analysis Intern – Summer 2026 What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security
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engineering) Causal inference / uplift modeling / synthetic controls Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow) LLMs / agentic workflows (LangChain/LlamaIndex/Haystack
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you for our team, where you'll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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engineering) Causal inference / uplift modeling / synthetic controls Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow) LLMs / agentic workflows (LangChain/LlamaIndex/Haystack
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collaborative. Computer Science at Carnegie Mellon is also distinctive for our research style, educational programs, commitment to diversity, culture and organizational structure. We are looking for a Research
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CMU. This program will be a key part of the Major Administrative Systems Governance (MASG) initiative, which is CMU's approach to coordinating large-scale administrative technology initiatives. The MASG
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, function, and technology across all spaces. Supervision of one full-time administrative staff member and joint oversight of multiple part-time student staff including hiring, training, and development
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Structures: the formal study of mathematical proof itself, as a subject in computational complexity, type theory, metamathematics, logic, and beyond. What is the space of mathematical truth, and what proofs