Fletcher Jones Endowed Professor for Artificial Intelligence
University of La Verne
Location: La Verne, California
Type: Full Time
Years of Experience:
Less than 2
Internal Number: 3935057
Functional Title Fletcher Jones Endowed Professor for Artificial Intelligence
Diversity Statement The University supports a diverse and inclusive environment where students recognize and benefit from the life experiences and viewpoints of other students, faculty, and staff. Diversity is an active and intentional practice that supports difference and multiplicity to expand knowledge, educate capable citizens, develop the whole person, and serve our local and global communities. Promoting and sustaining diversity is a commitment to educational quality and the creation of positive, respectful learning communities.
Job Description Summary The Department of Computer Science and Computer Engineering at the University of La Verne invites outstanding applicants to apply for the Fletcher Jones Endowed Chair in Computer Science – Artificial Intelligence – a full-time tenure-track or tenured position at the rank of Assistant or Associate Professor. The specific field of expertise in Computer Science, a focus on Artificial Intelligence. The College of Arts and Science’s Fletcher Jones Endowed Chair is provided by the generosity and philanthropic support of the Fletcher Jones Foundation. Candidates must be committed to excellence in teaching, including a strong desire to establish research projects that provide valuable learning opportunities for undergraduates. The University of La Verne is in close proximity to a remarkably diverse array of ecological communities in the San Gabriel Mountains, Pacific Coast, and Mojave Desert. Candidates must have a strong record of peer-reviewed publications and research funding.
The University of La Verne is a private not-for-profit university founded in 1891 located in La Verne, California. The core values that we live by are Ethical Reasoning, Diversity and Inclusivity, Lifelong Learning and Community and Civic Engagement.
Specific Duties • to have scholarly, pedagogical, and practical expertise in Artificial Intelligence (AI) and cybersecurity and serve as a catalyst for advancing the university. The University of La Verne embraces faculty-student collaborative research • to teach six undergraduate courses per year in the Computer Science – Artificial Intelligence (AI), and Cybersecurity curriculum. Courses including but not limited to teaching AI. C++, Algorithms, Python, DBMS, Networking, Cybersecurity, and Data Mining. • to provide academic advising and mentoring. • to participate in departmental and college governance activities.
Minimum Qualifications Candidates must have a Ph.D. in Computer Science with a focus in Artificial Intelligence and academic credentials that merit the rank of Assistant or Associate professor. The preferred candidate will also have a history of active participation in professional development as evidenced by presentations and publications, and display a readiness to work closely with a diverse student body and faculty colleagues through innovative pedagogy, research, and service initiatives.
Preferred Qualifications The university is seeking an AI professor with substantial experience leading curricular, co-curricular, and career experiences with diverse undergraduate students. The candidate will exhibit evidence of leadership in the discipline, including keynote speaker at national meetings, journal editor/reviewer, extensive publications in peer-reviewed, top tier journals, and well-established professional networks that will benefit the students. A background that allows some teaching in the area of Cybersecurity is preferred. The ideal candidate will have a proven track record in teaching, creating interdisciplinary courses across colleges, and program management, along with industry experience. The professor will be expected to conduct research and contribute to the growth of the field overall while engaging in academic advising, mentoring, and peer collaboration.
Benefits Summary Salary will be commensurate with experience and internal equity. Benefits include a comprehensive health and wellness plan, tuition remission program for employee, spouse, and dependent children, a generous contribution to the University’s 403B retirement plan, and a generous time off plan.
Employment is contingent upon successful completion and clearance of a background check and employment verification.