Assistant Professor, Statistics and Visualization (Tenure-Track)

Location
Fairfax, VA, VA
Posted
Dec 11, 2017
Closes
Jun 01, 2018
Industry
Education, Research
Hours
Full Time

Job Category : Instructional or Research Faculty

Working hours :

Salary : Commensurate with education and experience.

Web Announcement :
Assistant Professor, Statistics and Visualization (Tenure-Track)
The George Mason University Department of Computational and Data Sciences (CDS) in the College of Science invites applicants for a full-time, tenure track faculty position at the Assistant Professor level. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Masons academic and culturally inclusive environment.
Responsibilities: Beginning in the Fall of 2018, this position will support academic development and vibrant research programs within CDS. The workload for this position follows the Colleges workload policy including teaching, research, and service. The selected finalist will be expected to develop a diverse, externally funded research portfolio.
Required Qualifications: Applicants must hold a Ph.D. in a closely related field from an accredited institution, and should have research interests congruent with the associated research centers listed below. Applicants should have a promising research record with a deep knowledge of and interest in computation as applied to statistical analysis and visualization, with a strong emphasis in one or more of the following fields: machine learning, Bayesian inference, and knowledge mining. Candidates should have a demonstrated ability or strong potential to attract funding and provide strong contributions to the continued growth of the academic programs.
Preferred Qualifications: Potential for success in both research and teaching are the primary criteria for this position.
About the department: CDS is a rapidly growing, interdisciplinary department with major research directions in Modeling and Simulation, Data Science, and Computational Social Science. The successful candidate would benefit from a highly collaborative research environment that supports a wide array of shared facilities and dynamic research centers such as the DataLab, the university-wide Center for Social Complexity, and the Departments Center for Simulation and Modeling.
For more information about the Computational and Data Sciences (CDS) Department please see http://cos.gmu.edu/cds/ For more information about the College of Science please see http://cos.gmu.edu

Special Instructions : For full consideration, please complete the online application and attach a cover letter, CV, teaching and research statements and list of professional references with contact information.

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George Mason University is an innovative, entrepreneurial institution with national distinction in both academics and research. Mason holds a top U.S. News and World Report Up and Coming spot for national universities and is recognized for its global appeal and excellence in higher education.

Mason is currently the largest and most diverse university in Virginia with students and faculty from all 50 states and over 135 countries studying in over 200 degree programs at campuses in Arlington, Fairfax and Prince William, as well as at learning locations across the commonwealth. Rooted in Masons diversity is a campus culture that is both rewarding and exciting, work that is meaningful, and opportunities to both collaborate and create.

If you are interested in joining the Mason family take a look at our current opportunities and catch some Mason spirit at jobs.gmu.edu/!

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Equity Statement : George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.

Job Close Date :

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