About the Department:
The Department of Statistics in the School of Computing (SoC), part of the College of Engineering and Computing (CEC), offers a PhD in Statistical Science, two MS degrees (Biostatistics and Statistical Science with concentrations in Modern Statistics and Statistical Data Science), a BS in Statistics with four concentrations, and dual MS and accelerated BS/MS options. Though a relatively young department founded in 1992, the Department has demonstrated rapid growth in research and scholarship. It is renowned for its leaders in statistics, biostatistics, data science, and AI, with national/international credentials and prestigious honors.
Located on the beautiful Fairfax, VA campus in Northern Virginia's high-tech corridor, the department is just 30 minutes from downtown Washington, D.C., and Dulles International Airport, with top-ranked high schools in the country. Its main offices in the Engineering Building foster a connected community with other CEC departments and are a short walk to Research Hall's mathematics and other science departments. With additional space in the new Fuse building on the Arlington campus, accessible via shuttles, metros, and railways, the department has access to state-of-the-art facilities in Fairfax and Arlington and vast resources from industrial, cultural, federal, and academic institutions in the capital area. On-campus faculty rental housing is also available (see www.masonvale.com).
The department conducts collaborative research with top corporations and organizations, such as INOVA Health, one of the leading hospitals in the nation. It has also established new ties with other institutes in the greater Washington area. In the changing landscape of computing and AI, the department faculty has ample opportunities for interdisciplinary research and interaction with AI within and beyond the CEC and SoC, the first School of Computing in Virginia. It has a distinct potential for innovations in statistics, data science, and interdisciplinary research spanning medicine, engineering, economics, technology, and society.
Further information is available at https://stat.gmu.edu.
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Preferred Qualifications:
- Applicants in all areas of Statistics will be given full consideration. We are particularly interested in candidates with research experience in modern statistics, statistical data science/analytics, biostatistics, explainable AI, machine learning, modern causal inference, modern computing, data/population shifts, privacy and security, networks, and large or unstructured data; and
- Candidates who can build collaborations with other departments within the College, across the university, or national organizations will benefit from the strong support and encouragement for interdisciplinary collaboration from the College and the University.
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Instructions to Applicants:
For full consideration, applicants must apply for Open-Rank, Tenured/Tenure-Track Statistics Faculty at https://jobs.gmu.edu/; complete and submit the online application; and upload a cover letter, complete CV with a list of publications, statement of professional goals including your perspective on teaching (upload as Philosophy of Teaching), research statement, transcript (required for junior position candidates, others are optional), and the names of three professional references. Those who applied by February 28, 2025, will be considered fully. Review of applications will continue until the position is filled.
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