Job Description

Montgomery College accepts applications for Adjunct/Part-time Faculty on a continuous basis. Applications may be reviewed periodically based on the student enrollment needs. The listing of a course in the schedule of classes as “TBA” does not constitute an assignment. The hiring decision for part-time faculty involves an academic judgment and shall be determined at Management’s sole discretion.

Job Description

The Montgomery College, Rockville, Takoma Park/Silver Spring, Germantown campuses and East Campus Education Center are currently accepting applications for openings for part-time faculty member teaching a variety of daytime and evening in-person classes ranging from introductory statistics, precalculus, calculus, and  data science courses.  We are seeking an enthusiastic and dedicated educator who exhibits a high degree of professionalism, a strong commitment to our students, and demonstrates the ability to motivate and educate in an engaging manner.   

 ***Montgomery College accepts applications for Adjunct/Part-time Faculty on a continuous basis. Applications may be reviewed periodically based on the student enrollment needs. *** 

• The listing of a course in the schedule of classes as “TBA” does not constitute an assignment.  
• The hiring decision for part-time faculty involves an academic judgment and shall be determined at Management’s sole discretion.  
• During the academic year, part-time faculty at Montgomery College may teach no more than 11.5 ESH (equivalent semester hour) per semester and no more than 23 ESH per academic year.  
• During summer part-time faculty at Montgomery College may teach no more than 10 ESH (equivalent semester hour) for both sessions combined.  

Duties and Responsibilities: 

• Teach assigned courses in the Mathematics, Statistics, and/or Data Science discipline. Courses may include introductory mathematics, calculus, statistics, and/or data science courses or other courses as needed. 
• Plan, prepare, and develop instructional material, assignments, exams, and course syllabi consistent with department policies and practices.
• Present and coordinate classroom instruction and related activities combining lecture, active learning, and collaborative problem-solving activities. 
• Teach a varied schedule of courses that may include daytime, evening, weekend and/or accelerated sections. Opportunities may exist to teach summer session classes.  
• Follow guidelines from department course coordinators to ensure consistent content coverage and student experience across multiple sections of a course. 
• Administer, grade and provide feedback in a timely manner to monitor student mastery and progress through a course.  
• Meet college-established deadlines to submit student mid-term and final course grades. 

Required Qualifications: 

• Master’s degree in Mathematics, Statistics, Data Science or a related major. To be considered, Master’s degree course work must include a minimum of 12 graduate‐level mathematics, applied mathematics, or statistics coursework. 
• Successful candidates will have a demonstrated commitment to promoting diversity, inclusion, and multicultural competence in an educational and work environment and must be willing to contribute to the Colleges strategic plan of inclusion.
• Faculty members are expected to have access to a personal computer with virus protection that can connect to the internet outside of the work location (i.e., office, classroom, college campus)*.  Montgomery College (MC) provides an MC e-mail account and access to the learning platform, password-protected faculty sections of the website, college listservs, and other faculty communications tools.  *If you do not have access to a personal computer, please notify the department chair at the time of interview. Subject to available funds, the college may be able to provide temporary access to resources.
• Must be eligible to work in the United States without a sponsor.

 

Preferred Qualifications: 

• Ph.D. in Mathematics, Statistics, Data Science, or closely related field.
• Prior college level teaching experience in Mathematics, Statistics, or Data Science courses. 
• Demonstrated excellence in classroom instruction using a variety of teaching methods.
• Excellent oral and written communication skills.  
• Understanding of and commitment to the community college mission.
• Experience in distance delivery and other instructional methods. 
• Ability to coach students with varying levels of preparedness for college-level work
• Experience in student success efforts designed to increase completion and student success for underserved populations.
• Ability to use a wide range of interpersonal skills to work cooperatively with others and productively manage conflict and challenges.

Application Process:

• For consideration, you must:

1) Include dates of employment in your application or attachment;

2) Submit a cover letter;

3) Submit a resume (two-page maximum), and

4) Submit an unofficial copy of your transcripts from your highest degree earned. The transcript is necessary to determine the minimal graduate level math course qualifications have been met.

Please note, applications submitted without a cover letter or unofficial transcripts will not be reviewed.

As a condition of employment, the following are required at the time of hire:

• Successful completion of a background check and degree verification (if applicable).

• For international degrees, you must provide US degree equivalency verified by a nationally recognized credential evaluation service.

If a reasonable accommodation is needed to participate in the job application or interview process, please contact Human Resources and Strategic Talent Management at 240-567-5353 or HRSTM@montgomerycollege.edu.  We require at least two weeks advance notice to enable us to provide the requested accommodation.

Montgomery College is an equal opportunity employer committed to promoting and fostering diversity among its student body, faculty, and staff.

Montgomery College is a tobacco-free and smoke-free workplace.

Closing Date

Wednesday, July 31, 2024

*Please mention you saw this ad on WomenInCareers.*

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