Position Summary
The College of Business, Engineering, and Technology/School of Technology and Engineering is seeking a Part-time Assistant Professor for its San Diego academic center, in the following areas of specialization(s): Computer Science.
In this role, the part-time faculty member will teach cohorts of students within BS and MS in Computer Science programs. Primary responsibilities include delivering lectures, engaging students, offering excellent feedback, and inspiring students to achieve course and program outcomes relevant to the core discipline. This position works closely with other faculty teaching in the discipline, Academic Program Director, Associate Dean, and Dean.
Essential Functions
The key function of the position is the ability to teach a variety of graduate and undergraduate classes in Computer Science.
Measuring Performance
Specific performance standards for teaching include, but are not limited to:
- Part-time Assistant Professor will email/record and post a welcome email to their assigned students one week prior to the start of course, when feasible, but always within the first week of the course. The introductory email must include a course outline with all the important deadlines, course policy and/or project details.
- Part-time Assistant Professor will answer all student emails within two calendar days which is likely to require responding over weekends. The exception to this requirement is if the Part-time Assistant Professor is on PTO or when there is a holiday observed by the University.
- Communication with students will take place within the University learning management system (LMS), University-designated systems and through University assigned email.
- Part-time Assistant Professor will contact Student Services (by use of designated means) in the LMS as soon as a Part-time Assistant Professor determines a student is not actively participating in the course.
- Part-time Assistant Professor will contact a student by email and/or a phone call to encourage re-engagement in the course as soon as Part-time Assistant Professor determines a student is not actively participating in the course.
- Using the University learning management system (LMS), Part-time Assistant Professor will host no less than two, two-hour long, synchronous chat sessions per week. These chat sessions must be recorded and posted.
- Part-time Assistant Professor will provide quality feedback to students. Quality feedback includes but is not limited to:
- substantive and reflect a content focus
- impart knowledge, share resources and dialogue with students
- include track changes of edits to proper use of mechanics
- include a summative statement at the beginning or end of document with key observations
- communicate in a manner and with language reflecting support of the student
Compliance with University Policies
Part-time Assistant Professor are expected to know, acknowledge, and comply with University policies as stated in the Team Member Handbook and Faculty Handbook.
Supervisory Responsibilities: N/A
Requirements:
Education & Experience:
Required Qualifications:
- Master’s degree in Computer Science.
- Must reside and be eligible to work in the United States.
Preferred Qualifications:
- PhD in computer science or related area
- Industry experience
- Teaching or training experience
Competencies/Technical/Functional Skills:
- Ability to participate as an active team member of the team and organization and work toward a common goal.
- Accepts personal accountability and supports honesty and respect towards others, the company and oneself.
- Work independently and foster a cooperative spirit within a large and/or small team of diverse cultures, while working in a fast-paced environment.
- Ability to handle a diversity of details in order to make informed and responsive decisions on matters that impact the Part-time Assistant Professors, and students.
- Strong analytical and critical thinking skills.
- Excellent communication skills: verbal and written.
- Experience or eagerness to learn multiple technologies (Student Information System (SIS) such as SOAR/Peoplesoft systems).
Location: Hybrid - San Diego
Travel: Travel may be required
Compensation Range:
Hourly: $26.63 - $28.89
Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate’s qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University’s total rewards package, as we are dedicated to supporting the needs of the “whole you” with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For part-time positions, please click here.
National University offers an opportunity to work in an innovative environment that supports diversity.
National University (NU) is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a diverse mix of highly talented, innovative, and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University. We are focused on equality and believe deeply in diversity of race, color, ancestry, age, family care status, veteran status, marital status, creed, religion, sex, gender, sexual orientation, religion, ethnicity, national origin, and other legally protected group status.