Term Faculty in Statistical Sciences
2 months ago
Department: College of Engineering and Computing - Statistics
Classification: 9-month Instructional Faculty
Job Category: Instructional Faculty
Job Type: Full-Time
Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)
Location: Fairfax, VA
Workplace Type: Hybrid Eligible
Salary: Salary commensurate with education and experience
Criminal Background Check: Yes
About the Department:
The Department of Statistics consists of a dedicated team of faculty members, offering a comprehensive range of degree programs including a B.S. in Statistics, a Ph.D. in Statistical Science, and M.S. degrees in Statistical Science and Biostatistics. Established in 1992, the department has rapidly advanced in research and scholarship, with faculty recognized nationally and internationally in statistics, biostatistics, data science, and artificial intelligence. The department collaborates with prominent organizations and government entities, enhancing its research capabilities and innovation potential.
Located within the vibrant Northern Virginia technology corridor, the department benefits from proximity to major urban centers and excellent educational institutions. On-campus housing options are available for faculty. For more information about the department, please visit our website.
About the Position:
The Department of Statistics is seeking qualified candidates for multiple term faculty roles starting in the upcoming academic year.
Candidates will be responsible for teaching and developing courses at both undergraduate and graduate levels, engaging in departmental governance, advising students, and fulfilling related instructional duties. Research activities are optional.
Applicants for the rank of Associate or Full Professor should possess a strong background in outreach and curriculum development, with a minimum of six years of teaching experience post-Ph.D.
Responsibilities:
Delivering instruction at undergraduate and/or graduate levels; Contributing to departmental service and operational functions; Advising students effectively.Senior candidates are expected to lead in curriculum innovation and outreach initiatives.
Required Qualifications:
Candidates must hold a Ph.D. in Statistics or a closely related field, such as Data Science or Biostatistics, by the position start date. A demonstrated commitment to education and excellence in teaching is essential. Candidates for Associate/Full Professor must have significant outreach and curriculum development experience in an academic environment for at least six years post-Ph.D. Exceptional candidates with an MS in Statistics or Biostatistics and a strong teaching record may be considered for an instructor position.
Preferred Qualifications:
All areas of Statistics will be considered, with a particular interest in candidates experienced in data science and modern statistical methodologies. Preference will be given to those with substantial teaching experience and strong communication skills. Research capability, funding acquisition, and experience in administration or consulting will be advantageous. The ability to foster collaborations across departments is also valued.
Instructions to Applicants:
To ensure full consideration, applicants should submit their application, including a cover letter, comprehensive CV with publications, a statement of professional goals outlining their teaching philosophy, a diversity statement, and the names of three professional references.
Posting Open Date: Open until filled.
A Force for Innovation in the Heart of Northern Virginia's Technology Corridor
About the College
The College of Engineering and Computing (CEC) at George Mason University is recognized for its rapid growth and innovation in research and education. With a diverse array of degree programs and a strong faculty presence, the CEC is committed to excellence in various fields, including artificial intelligence, data analytics, and cybersecurity.
About the University and the Region
George Mason University is a leading public research institution in Virginia, known for its diverse student body and innovative academic programs. Its strategic location near Washington, D.C. offers unparalleled access to federal agencies and industry opportunities.
About the Future
In response to regional growth and industry demand, the university is expanding its capacity in computing and high-tech fields, launching initiatives that will enhance its educational offerings and research capabilities.
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