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across physics, mechanical engineering, materials sciences, network science, and more. This multidisciplinary and highly collaborative environment provides an exceptional opportunity for candidates
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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Collaborate with leading researchers within and outside UVA Qualifications: U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science, Network Science, Physics, Engineering, Sociology
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science, engineering, bioinformatics, computational biology, or related fields. Preferred Qualifications: Multi-Omics and Genomics Expertise: Strong experience with large-scale datasets from public repositories, crucial
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and other program relevant meetings. Requirements. PhD in any of the following fields or specializations: Network systems modeling, Computer Science, Engineering, multidisciplinary D ata Science and/or
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and succeed as a trainee preparing for future independence. In addition, other duties may be assigned. Minimum Qualifications: PhD degree in mechanical engineering, computer science, or related fields
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attention to the multiple interacting flood drivers (e.g., rainfall, storm surge, and backflow from stormwater pipes). PhDs in Civil Engineering, Environmental Science or related disciplines who meet the