Faculty, Technology, Engineering, Construction

About the role

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.

Responsibilities

• Teach course content via an appropriate delivery format (may include face-to-face, hybrid, online, and remote instruction).
• Complete mandated institutional trainings and professional development as required.
• Follow department and division requirements for preparing a course syllabus.
• Facilitate appropriate instructional activities that promote student engagement and learning.
• Evaluate student performance using assessment tools as directed by the department; inform students in a timely manner of their progress.
• Create and administer assessments that monitor student progress; provide timely student feedback.
• Provide an orientation at the first-class meeting to include (as applicable) an overview of the course syllabus, an outline of course objectives, course requirements, attendance policy, grading system, textbook(s), and supplemental materials.
• Notify students of key dates and course adjustments.
• Comply with attendance and grading requirements as established for the course (may include maintaining an up-to-date electronic grade book and entering final grades by the established due date).
• Maintain accurate class records; submit required class records by the established due date.
• Participate in departmental evaluation and course assessment processes as directed.
• Follow department and division requirements for maintaining office hours, advising students, and referring students to appropriate resources.
• Respond to student emails and phone calls within 48 hours with the exception of weekends and holidays. Maintain regular communication with students.
• Submit annual program budgets to and work closely with the appropriate Department Chair, Program Coordinator, Director or Program Director on the development of annual division budgets for approval by the Dean, if applicable.
• Attend all required meetings.
• Engage in appropriate and relevant service to the college and to the department (e.g., search committees, faculty committees, etc.)
• Serve as a Campus Security Authority (CSA) by complying with the Clery Act and reporting crime-related information.
• Perform all other job-related duties as assigned.

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.
• 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.
• Evidence of ability to teach effectively within, and contribute positively to, a diverse, multi-ethnic, multi-cultural student population and campus environment.
• IIBM Quantum Developer Certification
• AWS Machine Learning Specialty or Google Professional ML Engineer Certification
• Cloud-based quantum or AI platform certifications (AWS Braket, Azure Quantum, Google Vertex AI)

Skills

• Knowledge of quantum computing fundamentals including qubits, quantum circuits, and basic quantum algorithms.
• Ability to use quantum development platforms such as Qiskit, Cirq, or AWS Braket.
• Applied AI development skills including machine learning, deep learning, LLMs, and agentic AI systems.
• Proficiency with Python for AI and quantum development.
• Ability to integrate AI and QIS concepts into engineering, computing, or cybersecurity instruction.
• Mastery of course content.
• Ability to provide service to diverse populations using a student-centered approach.
• Ability to communicate effectively with students, faculty, and staff.
• Ability to plan, deliver and assess effective instruction.
• Ability to teach in face to face, remote and online modalities, as needed.
• Ability to effectively use instructional technology (Internet, instructional software, learning management system, videoconferencing, etc.).
• Critical thinking, organization, and conflict management skills.
• Research skills (where appropriate).
• Time management, planning and organizational skills.
• Ability to work as part of a team.
• Problem-solving and analytical ability.
• Ability to teach in non-traditional formats (online, remote, hybrid) and settings (off-campus, weekends, evenings and accelerated).