27 Electrical-Engineering research jobs at Carnegie Mellon University in United-States
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The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront of the technologies that have changed the world we live in. Our
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our values and who will support the mission of the university through their work. Qualifications: PhD in mechanical engineering, chemical engineering, materials science, electrical engineering
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, materials science, electrical engineering, chemistry, or related disciplines required. 3-5 years of experience required Graduate level research experience on topics related to soft materials engineering
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engineering, or electrical engineering 1-3 years of experience in field of study Prior experience working in an academic laboratory environment would be preferred Experience with computer programming (Matlab
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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 works closely with
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Details Posted: 20-May-24 Location: Pittsburgh, Pennsylvania Type: Full-time Salary: Open Categories: Staff/Administrative Internal Number: 2019726 The SEI helps advance software engineering
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://mzhanglab.github.io/ Qualifications: PhD degree in Computer Science, Computational Biology, Electrical Engineering, Genetics, or other quantitative fields. A strong publication record in original method development
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electrical engineering. We are currently searching for a Postdoctoral Research Associate to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work
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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 works closely with
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Computer Science, Electrical Engineering, or related field. • Strong programming skills in languages such as Python and C/C++. • Familiarity with deep learning frameworks (e.g., PyTorch). • Familiarity with Linux