Adjunct Masters Faculty

Adjunct Master's Faculty - in Artificial Intelligence or Quantum Computing

Part Time Faculty

Remote, US

Salary Range: Per course load

Faculty Position Description

Part-time, 12-Month

INSTITUTION OVERVIEW:

Founded in 1927 by a Navy veteran, Capitol Technology University is a regionally accredited institution that blends academic excellence with career focused practical learning experience. Capitol Tech is the only independent university in Maryland dedicated to STEM and offering evening and online classes at all levels. The University offers unique commitments to on-campus undergraduate students that include a salary guarantee and a Chargers Assistance Program that helps students pay back their loans if they do not find full-time work within 90 days of graduation. Capitol is distinguished by its progressive approach to higher education.

POSITION OVERVIEW:

The successful candidate will be passionate about working directly with Master's students to prepare them for the demands of their Master's courses. The individual will be a dynamic, visionary educator with innovative ideas for interdisciplinary approaches to education, experience teaching in multiple modalities, and the ability to motivate student excellence. Faculty dedicate 100% of their time to teaching. Teaching includes course preparation, instruction of instructor-led content courses, learning assessment, and participation in course and curriculum review. This is a 12-month position which maintains a high level of visibility with our on-campus and online students, reporting to the Dean of Graduate School.

We invite applications for a part time Adjunct Master's Faculty. Applicants with traditional and non-traditional backgrounds and experience in any field relevant to the Graduate School academic programs are welcome to apply.

Estimated start date: August 1, 2025

DUTIES AND RESPONSIBILITIES:

· Instruct students in the academic disciplines relevant to the Master's programs.

· Maintain high visibility for Master's students, including but not limited to; regular office hours, responding to students' emails and voice mails in a timely fashion, mentoring and advising students on academic and publication development.

· Manage classrooms in person, via Zoom, and within the Canvas Learning Management System (LMS) including preparing syllabi, assignments, activities, grading, preparing assessment activities, etc.

· Respond to student emails within 2 business days of receipt.

· Respond to student submissions within 5 business days with substantive feedback.

· Maintain professional competencies in research, a subject area provided in the Graduate School, and currency in instructional methodologies through professional associations and professional development.

· Ability to teach in a multimodal environment, on campus, simultaneous instruction (streaming via Zoom while teaching in a classroom) and Live Online (streaming via Zoom) and use LMS (Canvas). Interest in developing understanding of and participation in asynchronous instruction.

· Support student success initiatives by making timely referrals to the advising team.

· Effectively use Office365, Canvas (Learn@), Zoom (Capitol Live), and Student Information System interfaces.

· Support educational effectiveness activities of the Graduate School, such as course learning assessment and program level assessment review.

· Support accreditation activities of the Graduate School.

· Collaborate with the Dean of Graduate School for activities in support of student success and retention.

· May be required to perform other related tasks as assigned by the Dean of Graduate School and/or Vice President.

POSITION QUALIFICATIONS:

· Master's degree or higher from an accredited institution of higher learning in a closely aligned field relevant to Artificial Intelligence or Quantum Computing programs within the Graduate School.

· Must be able to work in the U.S. without sponsorship as the college is unable to provide sponsorship.

· At least five years of professional experience within the last 10 years in a subject area relevant to artificial intelligence programs within the Graduate School.

· Knowledge of subject matter and relevant topics and issues in the research discipline, including, but not limited to, qualitative and/or quantitative methodologies, statistical testing, data analysis techniques, understanding of relevant analysis software, and understanding of the ethical principles of research.

· Knowledge of effective instructional techniques and innovative modes of course delivery adaptable to a variety of learning styles.

· Understanding of the current American Psychological Association (APA) formatting guidelines.

· Demonstrated commitment to a diverse student body.

· Commitment to collegiality with faculty and staff in support of the university's mission and goals.

· Teaching experience of two years or more, to include teaching and/or chairing theses at the Master's level or higher.

· Excellent communication skills, and the ability to work with faculty, students, and industry partners on various projects.

· Ability to master the use of the technology platforms used to support learning and administration of the University including: Office365, Canvas (Learn@), Zoom (Capitol Live), and Student Information System interfaces.

· Ability to maintain confidential information.

· Desire to further the mission of Capitol Technology University.

PHYSICAL DEMANDS: Requires sitting occasionally for extended periods of time, and repetitive motions for operating computer mouse and keyboard. Hearing and effectively communicating on the telephone, the online learning environment, and in person. Visual demands: Computer monitor and reading.

APPLICATION: Complete the online application, submit a CV, a cover letter, research publication sample, and three references.