Adjunct Doctoral Dissertation Chair

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Faculty (Contract)

REMOTE

Part-time, 12-Month

Capitol Technology University is a career-focused university located in Laurel, Maryland, between Baltimore and Washington, D.C. It is a fully-accredited non-profit private university that was started in 1927 by a Navy veteran to teach students how to build radios. The University offers unique commitments to on-campus 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.

The successful candidate will be passionate about working directly with Doctoral students to prepare them for the demands of their Doctoral courses and dissertation research. 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, dissertation chairing, 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.

We invite applications for a contracted Adjunct Doctoral Dissertation Chair. Applicants with traditional and non-traditional backgrounds, dissertation chair experience, and at least 5 years of work experience in any field relevant to the Graduate School academic doctoral programs are welcome to apply.

• Instruct students in the academic disciplines relevant to the doctoral programs.
• Mentor students through course curriculum and program milestones as a Dissertation Chair.
• Help the student formulate a long-term plan for the research and writing of the dissertation, including a timetable and tentative completion date, to assist student in meeting course and dissertation milestones.
• Maintain high visibility for assigned students, including but not limited to; regular student communications and meetings, responding to students' emails and voicemails in a timely fashion, and mentoring and advising students on academic and publication development.
• Manage classrooms in person, via Zoom, and within the Canvas LMS including preparing syllabi, assignments, activities, timely grading, preparing assessment activities, etc. Weekly engagement in the classroom is required.
• 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 training and 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 Office
  365, Canvas (Learn@), Zoom (Capitol Live), and Student Information System interfaces.
• May be required to perform other related tasks as assigned by the Vice President for Academic Affairs.

• Doctoral degree from an accredited institution of higher learning in a closely aligned field relevant to the subject areas of Artificial Intelligence, Data Science, Intelligence & Global Security, Cybersecurity Leadership, Computer Science, Cybersecurity, Cyberpsychology 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 programs within the Graduate School.
• Extensive 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,…