Career Center

This position provides administrative support to the PIs, faculty, staff and students working on the STEPs4Growth Grant. (S)he oversees and administers activities of the program's administrative office including support for academic activities, financial compliance, and management; front line reception; communications for the team, office operations; and administrative support to the stakeholders for day-to-day activities. This position serves as the front office specialist for student and department services. Support tracking and communication to the students. This position monitors procedures and systems that provide productive and efficient operations while ensuring the team members follows university and college administrative policies and procedures. This position requires knowledge of program policies, procedures, and information systems in order to communicate and process information. The range of duties include, but is not limited to, verifying data, report writing summarizing and reconciling information of financial data, records management, travel claims review and processing, personnel administration and expenditures.

North Carolina A&T University is a public high research activity land grant university that enrolls over 13,300 students. The College of Engineering with over 2,300 students, has ABET accredited B.S programs in Architectural Engineering, Bioengineering, Biological, Civil, Chemical, Computer, Electrical, Industrial and Systems, and Mechanical Engineering and a B.S. program in Computer Science accredited by the CAC Accreditation Commission of ABET, (http://www.abet.org), On the Graduate level, the College has a8 Masters of Science Degree programs and 5 Doctoral programs. Additional information about the College and the University can be found at www.ncat.edu/coe.

The Ph.D. in Computational Data Science and Engineering is an interdisciplinary graduate program designed for students who seek to use advanced computational methods to solve problems involving big data, extensive computations, and complex modeling, simulation, optimization and visualization.

The M.S. in Data Science and Engineering is an interdisciplinary graduate program designed for students who seek to use computing and data science and engineering to solve problems involving big data, extensive computations, and complex modeling, simulation, optimization and visualization.

The mission of the Department of Computational Data Science and Engineering is to graduate professionals who (a) have expertise in developing novel computational methodologies and products, and/or (b) have extended their expertise in specific disciplines (in science, technology, engineering, and socioeconomics) with computational tools.

Research in Computational Data Science and Engineering includes: big data and computational statistics, AI and Machine Learning, internet of things, large and complex systems, intelligent transportation and infrastructure systems, remote sensing, autonomous vehicles, virtual and augmented reality, e-commerce, image and video processing, scientific and interactive visualization, high-performance computing, scalable algorithms, bioinformatics, and multi-scale multi-physics engineering systems.

You must complete and submit an electronic application for employment to be considered. Resumes will not be accepted in lieu of completing an electronic application. Applicants seeking Veteran's Preference must attach a DD 214 form. Certificate of Release or Discharge from Active Duty with your application during the process of applying to the job posting. Final candidates are subject to criminal and sex offender background checks. North Carolina A&T State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. North Carolina A&T State University is an Equal Opportunity and Affirmative Action Employer. No one who applies or seeks employment will be denied admission to or employment at North Carolina A&T State University on the basis of race, religion, color, national origin, sex, age, disabling condition, veteran status, political affiliation, genetic information or sexual orientation and sexual identity.