Engineering Technology (Mechatronics) (Fall 2025)

Title: Engineering Technology (Mechatronics) (Fall 2025)

Agency: Germanna Community College

Location: Spotsylvania - 177

FLSA: Exempt

Hiring Range: Salary is commensurate with rank and credentials.

Full Time or Part Time: Part Time

Additional Detail

Job Description:

Germanna Community College is a public, open access institution of higher education in the Virginia Community College System. The College is a dynamic learning organization that serves as a Germanna regional leader and preferred partner where quality learning experiences enable students to participate effectively in the social, economic, political, intellectual, and cultural life of their communities. Germanna Community College is centrally located in Fredericksburg, VA between Washington D.C. and Richmond and between the Blue Ridge mountains and the Chesapeake Bay. Full of history, the area offers a community rich with diversity, the arts, technology, vineyards, hiking, canoeing/kayaking and many other activities.

Adjunct faculty members are responsible for effectively planning and teaching courses in a classroom environment to students with a variety of academic backgrounds and experiences. Germanna Community College invites applications for an in-person adjunct faculty member in Engineering Technology (Mechatronics).

• Master’s Degree with at least eighteen graduate semester hours in the specific discipline
• Official transcripts will be required prior to final offer
• Ability to demonstrate the use of relevant technology and learning management systems to effectively facilitate teaching, learning, assessment, and communication
• Commitment to student engagement in the online teaching environment including maintaining consistent communication and virtual support mechanisms to ensure student success.
• Technology capability (access to WIFI, computers) to teach remotely
• All teaching positions of Germanna Community College require the ability to teach in a variety of modalities including virtually.
• Demonstrate competency and commitment to continuous professional development in virtual education.
• Complete Growing with Canvas and TOPS 2.2 prior to teaching
• Experience with or willingness to learn artificial intelligence tools

• Prior teaching experience
• Work experience in the field
• Experience with on-line teaching.
• Substantial, proven experience with innovative teaching and developing online courses in both the synchronous and asynchronous learning environments at a regionally accredited institution