Faculty, Technology, Engineering, Construction

Location: Largo

Position Title Faculty, Technology, Engineering, Construction Position Type Faculty Department Technology, Engineering, and Construction FLSA Exempt Union/Non Union Union Full Time or Part Time Full Time Grade ... Salary Range Hiring Salary Range $58,041 - $75,850 (depending on education and experience) Fixed Term/Tenure Track (Faculty Only) Tenure Track Regular or Temporary Regular

Job Description Summary

The instructor is responsible for the coordination, planning, preparation, presentation, and evaluation of classroom instruction and related activities during the day, evening, or weekend via instructional delivery formats to include face-to-face, hybrid, online, and remote. Face-to-face and hybrid classes may be offered on any Prince George's Community College campus, or at off-campus locations. The instructor must remain current in the discipline area and continually explore teaching methods and strategies to engage learners, organize and plan instructional content that accommodates diverse learning styles, and devise appropriate assessment tools that monitor student learning outcomes.

The instructor is also responsible for participating in related activities to include professional development, academic advising, curriculum design. The instructor performs all other duties as directed by the Department Chair, Dean of Instruction, or the President or designee.

Minimum Qualifications

EDUCATION AND EXPERIENCE

Required

* Master's degree in Quantum Information Science (QIS), Quantum Engineering, Artificial Intelligence, Machine Learning, Robotics, Physics with a quantum specialization, Computer Engineering/Computer Science with an AI or QIS emphasis, or closely related discipline.

* A minimum of 1 year of full-time higher education teaching experience in areas such as data science, cloud computing, software development, cybersecurity, information systems, or related technologies

OR

* A minimum of one semester of higher education teaching experience in areas such as data science, cloud computing, software development, cybersecurity, information systems, or related technologies combined with at least three years of industry experience in data science, cloud computing, or other related computing fields.

Preferred

* Industry experience in one or more of the following: data science, cloud computing, software development, Quantum technologies in academic, cybersecurity, information security, information technology, computer programming, database systems, systems analysis, AI/ML or web technologies.

* Demonstrated experience with high-impact teaching practices that enhance student engagement and learning outcomes, such as project-based learning, real-world simulations, or the integration of emerging technologies in the classroom.

* Doctorate in Quantum Information Science, Artificial Intelligence, Machine Learning, or a related emerging-technology field.

* Demonstrated experience applying AI or quantum technologies in academic, research, or industry settings.

OTHER REQUIREMENTS

* Evidence of curriculum development or applied research in AI, machine learning, quantum computing, or other emerging technologies.

* Experience working with grant-funded initiatives or workforce programs in AI or quantum technologies.

* Extent and relevance of educational preparation to anticipated teaching assignments.

* Relevance of teaching experience to anticipated teaching assignments in a variety of information technology areas.

* Relevance of non-teaching professional experience to anticipated teaching assignments. Examples:
Curriculum development, interdisciplinary engagement, work with grant funded programs, industry certification.

* Evidence of quality teaching, including faculty evaluation scores and ratings, teaching awards earned, face-to-face and online courses designed, developed and/or revised, etc.

* Evidence of knowledge of and experience in employing instructional methods and techniques appropriate to different student learning styles. Examples:
Cooperative learning, online teaching, and group projects.

* Evidence of currency in professional discipline through industry certification, continuing education, professional development and/or scholarly activity.

* Extent of expertise and/or teaching experience in the following information technology areas:

* Cisco routing and switching concepts (CCNA)

* Computer graphics

* Computer hardware installation, configuration and repair

* Information security

* Learning management systems (Canvas)

* Network administration.

* Online teaching experience

* Operating systems concepts

* Cloud Computing

* Programming logic and languages

* Programming application development (mobile and gaming)

* Project management

* Social networking media

* Systems analysis

* Web technology

* Extent, currency, and relevance of professional certifications held. Examples: A+, CCNA, CISSP, IC3, MOS, CEH, AWS, Net+, Security+, etc..9. Evidence of ability to teach effectively within, and contribute positively to, a diverse, multi-ethnic,…