466 computational-physics-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Carnegie Mellon University
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eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions
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and monitors or modifies award and expenditures. Interprets regulations and guidelines for program funding (both university and agency) for multiple complex grants. Provides monitoring of grants and
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of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program
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the admissions process. Responds to routine and non-routine inquiries from applicants concerning the application process, notification, financial aid information, visa requirements, conditions, and program
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sponsors Willingness to guide and mentor junior team members Requirements A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10
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enable CMU and its academic units to fulfill their potential and continue their ascent. The Chief Advancement Officer will join the organization as CMU strives to elevate its advancement program and build
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at the tactical edge, enabling capability under constrained compute/connectivity through efficient inference, compression, rapid adaptation, and update/redeploy patterns. Key Responsibilities / Duties Mission
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experience and a strong portfolio before applying for Ph.D. positions. Fellows in previous years have gone on to great things and a variety of Ph.D. careers ranging from cognitive science, computer
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, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers, software engineers, and government sponsors to define problem statements
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technical/computational backgrounds (ML, NLP, AI safety, working with LLMs) as well as computational social scientists. The ideal candidate bridges these worlds or is eager to learn across them