Assistant Professor in Computer Science
University of La Verne - La Verne, California, United States, 91750
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Assistant Professor in Computer Science
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University of La Verne Job Description Summary
The Computer Science and Computer Engineering Department at the University of La Verne invites applications for a full-time tenured track position at the rank of Assistant Professor in the field of Computer Science, Computer Engineering, Information Technology or related fields. Candidates must be committed to excellence in On Ground (Face-To-Face and Telepresence), Online (Synchronous and Asynchronous) and Hybrid teaching modalities with a strong desire to establish research projects that provide valuable learning opportunities for undergraduate students. The successful candidate is expected to teach undergraduate courses On Ground, Online, and Hybrid in the field of Computer Science. Other responsibilities include: academic advising, maintaining office hours, mentoring, faculty committee participation, developing courses, coordinating with Regional and Online Campuses ( ROC ) course offerings, and as well as helping the department prepare for ABET accreditation. The College of Arts and Sciences aims to provide broad access and transformative learning that leads to life and community success. The University of La Verne is a 132-year old, nonprofit, independent, comprehensive, doctoral granting institution in Southern California with strong emphasis on teaching excellence, community engagement and an increasing commitment to research and publication. Classified by Carnegie as a Community-Engaged University, La Verne offers high quality, liberal arts and professional degree programs at the undergraduate to doctoral levels to traditional-age and adult learners. The main campus is located in La Verne, 35 miles from downtown Los Angeles, along the foothills of the San Gabriel Mountains. The University of La Verne is a private not-for-profit university founded in 1891 located in La Verne, California. The University is designated as a Hispanic Serving Institution with 40% of the student population identifying itself as” Hispanic/Latino,” 55% students of color, 10% international students, and a large proportion first-generation. The core values are Ethical Reasoning, Diversity and inclusivity, Lifelong Learning, and Community and Civic Engagement. The University is an equal opportunity employer and seeks candidates with diverse backgrounds. Job Description Summary
The Computer Science and Computer Engineering Department at the University of La Verne invites applications for a full-time tenured track position at the rank of Assistant Professor in the field of Computer Science, Computer Engineering, Information Technology or related fields. Candidates must be committed to excellence in On Ground (Face-To-Face and Telepresence), Online (Synchronous and Asynchronous) and Hybrid teaching modalities with a strong desire to establish research projects that provide valuable learning opportunities for undergraduate students. The successful candidate is expected to teach undergraduate courses On Ground, Online, and Hybrid in the field of Computer Science. Other responsibilities include: academic advising, maintaining office hours, mentoring, faculty committee participation, developing courses, coordinating with Regional and Online Campuses ( ROC ) course offerings, and as well as helping the department prepare for ABET accreditation. The College of Arts and Sciences aims to provide broad access and transformative learning that leads to life and community success. The University of La Verne is a 132-year old, nonprofit, independent, comprehensive, doctoral granting institution in Southern California with strong emphasis on teaching excellence, community engagement and an increasing commitment to research and publication. Classified by Carnegie as a Community-Engaged University, La Verne offers high quality, liberal arts and professional degree programs at the undergraduate to doctoral levels to traditional-age and adult learners. The main campus is located in La Verne, 35 miles from downtown Los Angeles, along the foothills of the San Gabriel Mountains. The University of La Verne is a private not-for-profit university founded in 1891 located in La Verne, California. The University is designated as a Hispanic Serving Institution with 40% of the student population identifying itself as” Hispanic/Latino,” 55% students of color, 10% international students, and a large proportion first-generation. The core values are Ethical Reasoning, Diversity and inclusivity, Lifelong Learning, and Community and Civic Engagement. The University is an equal opportunity employer and seeks candidates with diverse backgrounds.
Minimum Qualifications
Candidates must have a Ph.D. in Computer Science obtained from an accredited institution. In addition, the applicant must demonstrate good written and oral communication skills in the English language, as well as expertise in one or more of the following subjects: Assembly Language, Data Structures, Analysis of Algorithms, Compiler Design, Operating Systems, Database and related topics. The candidates must show evidence of effective teaching in Face-To-Face and Online techniques with at least one-year experience at the undergraduate level and some teaching experience with adult student populations.
Preferred Qualifications
The preferred candidate will also have a history of active participation in professional development as evidenced by presentations and publications; display a readiness to work closely with undergraduate students and faculty colleagues through research, community engagement, and service initiatives; and exhibit the leadership abilities necessary to expand the Information Technology program. The ideal candidate will have a proven track record in teaching, creating interdisciplinary courses across colleges, and program management, along with industry experience. The candidate is expected to conduct research and contribute to the growth of the field overall while engaging in peer collaboration. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
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