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Open-Rank, Term Computer Sciences Faculty

Open-Rank, Term Computer Sciences Faculty
    10000783
    Fairfax, VA
    Instructional Faculty
    Opening on: Feb 26 2024
        Add to favoritesFavorited View favoritesDepartment: College of Engineering and Computing - Computer Science

        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 Computer Science has 25 teaching-track faculty and 56 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining, artificial intelligence, robotics, visual computing, theory, databases, bioinformatics, HCI, and software engineering. The department has seen a substantial increase in computer science majors as enrollment has grown from 550 undergraduates in 2012 to over 2,400 today. The department has over 200 PhD students and over 1150 Masters students enrolled in four MS programs. The Department has around $5 million in annual research expenditures, 26 recipients of the prestigious NSF CAREER Award, six IEEE Fellows, and three ACM Fellows. The department is currently ranked #32 on CSRankings.

        For more information on the department, visit our Web site: https://cs.gmu.edu/.

        About the Position:

        The Department of Computer Science invites applications for multiple term faculty positions beginning Fall 2024.

        Candidates to this position will be expected to teach and develop undergraduate and graduate courses; participate in university, college, and departmental governance; professional and public service; advising students; and performing related instructional assignments such as supervising senior projects, student internships, and practicum.

        Applicant at the rank of Associate or Full Professor must have interests in outreach, curriculum development, and significant experience in an academic setting in teaching for at least six years post Ph.D.

        Responsibilities:

        • Teaching: teaches at the undergraduate and graduate levels; and
        • Service: advises students; participates in all aspects of the department’s mission; and serves the profession.

        Required Qualifications:

        Applicants for the position of Assistant/Associate or Full Professor must have received a Ph.D. in computer Science or a related field; candidates with a Ph.D. in other fields should have a strong publication record in Computer Science. Applicants who have received an MS in Computer Science or a related field by the start date of the position, will be considered for Instructor positions. Demonstrated potential for excellence and a commitment to high-quality teaching. Applicants should possess a strong commitment to and demonstrated excellence in teaching. Applicants at the rank of Associate or Full Professor must have interests in outreach, curriculum development, and significant experience in an academic setting in teaching for at least six years post Ph.D.

        Preferred Qualifications:

        Applicants at all ranks and in all areas of computer science, broadly defined, will be considered. Preference will be given to candidates with a Ph.D., teaching experience, and a record of peer-reviewed publications. Administrative and/or managerial experience is a plus. Applicants who can build collaborations with other departments within the College and across the University will benefit from the strong support and encouragement for interdisciplinary collaboration with the College and the University. The department and the College place high value on engaging students from traditionally underrepresented groups, and candidates from these groups are especially encouraged to apply.

        Instructions to Applicants:

        For full consideration, applicants must apply for Open-Rank, Term Computer Sciences Faculty at https://jobs.gmu.edu/. Complete and submit the online application; and upload a cover letter, complete CV with publications, statement of professional goals including your perspective on teaching (upload as Philosophy of Teaching), statement on what diversity and inclusion means to you (upload as Diversity Statement), transcript (optional), and the names of three professional references. Review of applications will continue until the position is filled.

        Posting Open Date: February 26, 2024

        For Full Consideration, Apply by: April 1, 2024

        Open Until Filled?: Yes

        Mason Computing: The Future of Computing is Here

        About the College

        The College of Engineering and Computing (CEC) at George Mason University is a fast-growing force for innovation in research and education. Ranked nationally in the top 100 in both undergraduate and graduate education, the CEC enrolled a record high of 10,933 students in fall 2023. The college has 34 undergraduate, master’s and doctoral degree programs including several first-in-the-nation offerings. Of its 320 full-time faculty, 93 are tenured, 77 are tenure-track, 90 are term faculty, and 60 are research faculty. As part of a nationally ranked research university, CEC research teams expended $65 million in sponsored research awards in the past year and had projects with over $119 million in current and anticipated awards. The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more. The college encourages and supports multidisciplinary research and provides ample opportunity for faculty to work with other disciplines.

        About the University and the Region

        George Mason University is the largest and most diverse public research university in Virginia, with an enrollment of more than 40,000 students studying in over 200 degree programs. Mason is an innovative, entrepreneurial institution with national distinction in a range of academic fields. It was classified as an R1 research institution in 2016 by the Carnegie Classifications of Institutes of Higher Education. The university has campuses in Fairfax, Arlington, and Prince William County. Its proximity to Washington, D.C. provides unmatched geographical access to federal agencies and national laboratories. Northern Virginia is also home to one of the largest concentrations of high-tech firms in the nation, providing excellent opportunities for interaction with industry. The region is consistently rated as being among the best places to live in the country and has an outstanding local public school system.

        About the Future

        In conjunction with Amazon’s decision to establish a second headquarters in Northern Virginia, the Commonwealth of Virginia announced a multi-year plan to invest in the growth of degree programs in computing. As a result, Mason has committed to accelerate its plans to grow its capacity in computing and high-tech fields. Among the university’s exciting initiatives are the launch of the Institute for Digital Innovation—a university think tank and incubator to serve the digital economy—and the expansion of Mason Square home to its Arlington facilities. In 2025, Fuse a new 355,000 square foot building, will open to students, faculty, and research teams. This net-zero facility will house the Institute for Digital Innovation, state-of the-art classrooms, labs, and collaborative spaces. It will also include retail space, and leasing opportunities for local businesses. These initiatives reflect hundreds of millions of dollars in new investment by Mason that will rapidly elevate the university’s already leading national position in computing and related areas.

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