Job Requisition:

JR102120 Adjunct Professor of Applied Science (Open)

Job Posting Title:

Adjunct Professor of Applied Science

Department:

CC00102 WM001 | CDSP | Applied Science Dept

Job Family:

Faculty - Adjunct

Worker Sub-Type:

Adjunct (non-benefited)

Job Requisition Primary Location:

Integrated Science Center

Primary Job Posting Location:

Posting Location - William & Mary

Job Description Summary:

The Department of Applied Science at William & Mary, a public university of the Commonwealth of Virginia, is recruiting a pool of qualified individuals for possible part-time adjunct teaching appointments. Beginning Spring 2027, the department anticipates instructional needs in APSC 251 Engineering Design.

Within the School of Computing, Data Sciences & Physics, adjunct faculty may be responsible for:
• Teaching assigned undergraduate and/or graduate courses depending on unit need
• Preparing syllabi and course materials
• Delivering instruction and assessing student learning
• Holding office hours
• Fulfilling other instructional duties consistent with departmental needs

Job Description:

Required Qualifications:

• Applicants must hold a Masters or Ph.D. in Engineering Physics, Engineering, Applied Science or a related field, or equivalent experience and qualifications.
  

Preferred Qualifications:

• An M.S., Ph.D., or other appropriate terminal degree, or ABD status, in Engineering or a related field at the time of appointment (August 10 for fall or January 10 for spring).
• Previous academic teaching experience.

Conditions of Employment:

• This position is also not eligible for work visa sponsorship.
• This is a part-time position restricted to the term to which it is assigned and hired and is not eligible for benefits.
• The position may require additional hours beyond the typical work week, including occasional evenings, weekends, or overnight work as needed to meet operational requirements.
• As part-time exempt employees, adjuncts are subject to the limitations of the Virginia Manpower Control Program. Total hours worked may not exceed an average of 29 hours per week over a twelve-month period beginning May 1 each year.
• Total adjunct work hours for part-time employment from May 1 through April 30 may not exceed 1,500 hours, generally equating to up to 14 credit hours for fall/spring and up to 6 for summer, not to exceed 18 credit hours for the year.
• Adjuncts maintain an in-person presence for the duration of their appointment.  Remote teaching opportunities are rare and subject to approval.

Appointment Details:

Appointments are limited to a specified term and may include the following instructional sessions:

• Summer Session 1: May 26 – June 26* 

• Summer Session 2: June 29 – July 31*  (expected contract effective date:  June 25)

• Summer Session 3: May 26 – July 31*

• Fall: August 10 – January 9

• Spring: January 10 – May 24

 *Summer Session Terms are subject to vary each year

Applicants must apply online at https://go.wm.edu/VphZB3. All applications must consist of the following materials for full consideration; (Please note: No more than 5 individual documents may be uploaded into the upload field provided. Each individual file must not exceed a size limit of 5MB. If necessary, candidates can compress multiple files into a single zip file for upload):

• Curriculum vitae;
• Cover letter;
• A statement of teaching interests;
• A statement of research interests;
• Additional materials that demonstrate experience in a Makerspace or shop for prototyping, fabricating, or other types of ‘Making’.
• A reference page with the contact information (including names, email addresses, and phone numbers) for three references.
  

Applicants are encouraged to reflect on teaching and mentoring practices that advance academic excellence and success of all learners/scholars in Applied Science in any of the aforementioned required documents. 

Candidates who are scheduled for interviews will be prompted to submit online the names and email addresses of three references who will be contacted by the system with instructions for how to submit a letter of reference.

For full consideration, submit application materials by the initial review date, 10/28/2026. Applications received after the initial review date will be considered if needed. All required supplemental application materials mentioned above must be clearly identified and included with your application for full consideration. Review of applications is ongoing. Applications received after the initial review date will be considered if needed.

Information on the degree programs in the School of Computing, Data Sciences & Physics may be found at cdsp.wm.edu.

Additional Job Description:

Job Profile:

JP0738 - Adjunct Professor NTE - Exempt - Salary - S99

Qualifications:

Compensation Grade:

S99

Recruiting Start Date:

2026-09-25

Position Restrictions:

Restricted Term

EEO is the Law. Applicants can learn more about William & Mary’s status as an equal opportunity employer by viewing the "Know Your Rights" poster published by the U.S. Equal Employment Opportunity Commission. https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal

 

Background Check: William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

Applicant Notice: By applying for this position, you consent to William & Mary's use, review, and retention of your application materials for recruitment and employment purposes. Materials may be shared with authorized individuals participating in the hiring process and will be managed in accordance with applicable laws and university policies.

Probationary Period Notice: Individuals selected for full-time staff positions will be required to complete a twelve (12) month probationary period in accordance with university policy.

 

Remote Work Disclaimer: Remote work eligibility is not guaranteed and is subject to approval. Employee eligibility depends on the likelihood of the employee succeeding in a remote work arrangement and the supervisor’s ability to manage remote workers. Departments and/or Human Resources may amend, alter, change, delete, or modify eligibility.