343 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at Carnegie Mellon University
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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
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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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of Client Services will partner with stakeholders across Carnegie Mellon University, shaping and prioritizing the technology services provided to enable and support university wide research, teaching and
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, managing complex crises, fostering vibrant campus communities, and building inclusive, responsible, and innovative student support structures. Given CMU’s distinctive enrollment profile, experience
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call home. We are looking for a Research Assistant for 4 months until May 2026. This position will help with engineering work on a research project, and will work on building infrastructure
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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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of Client Services will partner with stakeholders across Carnegie Mellon University, shaping and prioritizing the technology services provided to enable and support university wide research, teaching and
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career paths in education, technology, or community engagement Who We’re Looking For: We are seeking high school students who are passionate about STEM, enjoy working with others, and are excited
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AI/ML Vulnerability Analysis Intern What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and
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and make sense of mathematical proofs, both as individuals and collectives. How do people prove things? Theme 2: Transcendental Structures: the formal study of mathematical proof itself, as a subject in