STEPs4GROWTH Program Manager - A.I. in Clean Energy Technology

Description:

The Artificial Intelligence in Clean Energy Technology Program Manager will manage the technical work supporting the STEPS4GROWTH Organizational units.

(S)he will manage the research arm and data collecting activities.

PM will be active in development of hands-on training units. This involves purchasing of equipment and scheduling of training equipment.

The PM will also oversee the day-to-day work of the NC A&T students involved in the MTU project.

PM will support technical needs of all STEPS4GROWTH organizational units, including all aspects of research and technical writing in Clean Energy Technology.

PM will be active in grant writing activities that support STEPs4Growth.

This position would be for 12-months with a possible renewal of an additional 2 years and will focus on all aspects of Clean Energy Technology Development.

Primary Function of Organizational Unit:

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, ( On the Graduate level, the College has 8 Masters of Science Degree programs and 5 Doctoral programs. Additional information about the College and the University can be found at

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.

Internal job number: 007416

Requirements:

Master’s Degree in Data Sci. and Eng., Computer Sci., Comp. Eng., Electrical Eng., or related field and at least 3 years’ experience in the industry utilizing AI skills.

All degrees must be received from properly accredited institutions.