Assistant Professor, Data Sciences (Tenure-Track)

6 days left

Location
Fairfax, VA, VA
Posted
Oct 30, 2018
Closes
Nov 24, 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, Data Science (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 2019, this position will support academic development and vibrant research programs within CDS. The successful candidate will be expected to teach at both the undergraduate and graduate levels; support the departments PhD, masters and undergraduate programs; and provide service activities to the department, college and university. 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 data science from an accredited institution or an aptly related field such as computer science, computational science, a physical science, etc., and should have research interests congruent with the associated research centers listed below. Candidates must have a demonstrated ability or strong potential to attract funding and provide strong contributions to the continued growth of the academic programs. Applicants need a promising research record and a demonstrated deep knowledge in the expanding field of data science, with a strong emphasis in one or more of the following fields: data mining, knowledge mining, big data analytics, data engineering, or related fields.
Preferred Qualifications Potential for success in both research and teaching are the primary criteria for this position.
About the Department George Mason University is the largest public university within the Commonwealth of Virginia, located a few miles to the west of Washington D.C. Mason has over 37,000 students, more than 200 degree programs, and was classified as an R1 research institution in 2016 by the Carnegie Classifications of Institutes of Higher Education. For more information about the Department of Computational and Data Sciences, visit http://cos.gmu.edu/cds For more information about the College of Science, visit http://cos.gmu.edu.

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

MasonAd : Great Careers Begin at Mason!

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/!

George Mason University, Where Innovation is Tradition.

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, sexual orientation, gender identity, national origin, age, disability or veteran status, or any characteristic protected by law.

Job Close Date :

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