Job Description

GSU Information
Georgia State University is a national model for innovation and opening opportunities for all, ranked 2nd most innovative by U.S. News & World Report, ranked 1st among public universities in undergraduate teaching, the number 1 nonprofit university to award bachelor’s degrees to African American students, 6th in the country for its first-year student experience, and highly ranked for enabling the social and economic mobility of its students. Among the most diverse universities in the nation, Georgia State opens global perspectives as the number 1 U.S. public university sending African American students to study abroad.

A regional gateway to higher education, the five suburban Perimeter College campuses provide more than 30 associate degree pathways. The downtown Atlanta campus offers more than 250 degree programs in 100 fields of study at the undergraduate, graduate and first-professional degree levels.
With five university-wide research centers and numerous centers and institutes at the college and school levels, Georgia State’s interdisciplinary, dynamic and productive research enterprises address major health and societal challenges.

Georgia State is vital to the regional economy, with a more than $2.9 billion economic impact, and is also a vital part of Atlanta’s vibrant arts and entertainment community, with highly regarded programs in music, art, creative writing and film, the Rialto Center for the Arts, and the Creative Media Industries Institute that contributes to innovation and the workforce for interactive media and media entrepreneurship.
Department Mathematics & Statistics
Campus Atlanta
Position Type Full Time Faculty
Posting Type Internal/External
About the Department
Students’ success in math courses is of paramount importance to their progress towards graduation. It comes as no surprise that by the number of credit hours served, the Department of Mathematics and Statistics is one of the largest at Georgia State University. To facilitate students’ learning, the department offers a variety of courses that range from introductory to upper undergraduate and graduate levels, taught in traditional, emporium, and fully online formats. Some of the courses have become national success models and have attracted visitors from many other universities across the nation.

Department of Mathematics and Statistics offers baccalaureate, masters and doctoral programs, as well as two accelerated dual-degree B.S./M.S. programs
Position Description
Applications are invited for an Academic Professional position in Mathematics and Statistics beginning July 1, 2024. Candidates in all areas of mathematics and statistics are encouraged to apply. Although this is a non-tenure track position, it will be renewable each year for the first five years, subject to annual evaluation and a third-year review, and it has the potential for promotion to senior academic professional after five years and then to principal senior academic professional.

Academic Professional is a 12-month appointment. The responsibilities for the position will include a) teaching, enhancement, and coordination of courses, b) management of the computer laboratory in which the interactive components of courses are conducted, c) creating an environment of academic and professional excellence for students and educational team members, d) maintaining professional relationships with students and colleagues, and e) working on campus 5 days per week whenever the University is open.
Required Experience
At least one year of teaching experience in a university setting.

Required Education
Ph.D. degree in Mathematics or Statistics or a closely related field.
Preferred Qualifications/Experience
Strong desire to work in a collaborative environment;
Experience in supervising a computer laboratory;
Experience with different course modalities, such as face-to-face, hybrid, online synchronous, and online asynchronous.

Knowledge, Skills, and Abilities
Ability to teach core undergraduate mathematics courses.
Computer skills and experience with instructional software.