541 parallel-computing-numerical-methods-"Simons-Foundation" positions at Virginia Tech
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, economics, planning, and/or infrastructure field(s) to ensure the ability to perform and improve efficiency/effectiveness/efficacy of analysis and methods. Interest in housing programs, policies, and data
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of quantum error correction, tensor networks, and/or machine learning. Experience with programming and numerical methods is preferred. Overtime Status Exempt: Not eligible for overtime Appointment Type
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: development of computational methods; maintenance of current models and data sets; and identifying and testing alternative data sources. Maintain detailed design specifications and written documentation
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optimizes university program goals, while conforming to the project’s established criteria for scope, cost, schedule and quality. - Manage assigned projects and coordinate involvement of all participants in
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areas: formal verification, proof assistants and verification tools, binary/program analysis, or compilers. - Strong expertise with formal methods tools (e.g., theorem provers, SMT solvers, model checkers
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(USN&WR). The successful candidate will have a research focus in computational geomechanics, emphasizing numerical investigation of soil behavior under coupled mechanical, hydraulic, and thermal
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and understanding of doctoral education and program development. They should be able to display an erudite and historically informed approach to the teaching of methods courses. And they should be able
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growth through applied experience in data processing, simulation, and computational methods. The role contributes to structured technical tasks such as dataset preparation, scenario modeling, and results
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, statistical computing software, and geospatial processing programs • Experience with database management and analyzing spatially and temporally extensive datasets Preferred Qualifications • Experience with
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Preferred Qualifications - Bachelor’s degree or higher in Business Information Technology, Computer Science, or related field - Experience with business processes and applications supporting higher education