Get more replies from employers
Send a job-specific resume in minutes.
LM Wind Power / GE is seeking a part-time Adjunct Assistant Professor in Programming, Database, and Analysis to deliver quality instruction in Information Technology education. The role involves designing courses and assessing student learning outcomes. Applicants should possess a Master's degree with relevant experience in Information Technology and a strong background in programming languages including SQL, Python, and Java.
The position requires effective communication and collaboration with students and faculty in a diverse setting, as well as a commitment to inclusive education.
Each part‑time faculty member reports to a chair or director, satisfies criteria for accreditation, possesses subject matter expertise, and has the following instructional and institutional responsibilities:
Salary is determined per the SF Salary Schedule.
The Information Technology Education (ITE) prepares students for careers in computer programming, network administration, computer support, and other technical occupations. The ITE Program offers eight certificate programs, four Associate of Science degrees, and one Bachelor of Applied Science degree. The department seeks an onsite Adjunct Assistant Professor, Programming, Database and Analysis.
The Adjunct Assistant must be able to deliver high‑level interactive customer service, develop and maintain collaborative relationships, communicate effectively, and possess proficient computer skills including familiarity with the Microsoft Suite of Office Applications. The successful applicant must be willing to work a flexible schedule at multiple sites and demonstrate the ability to work well with students, faculty, and staff in a diverse environment.
Santa Fe College is committed to maintaining a work and educational environment that embraces diversity and where no member of the college community is excluded from participation in, denied the benefits of, or subject to discrimination in any college program or activity based on race, ethnicity, national origin, color, religion, age, disability, sex, pregnancy status, gender identity, sexual orientation, marital status, genetic information, political opinions or affiliations, or veteran status.
Preference will be given to eligible veterans and spouses of veterans.