Fletcher Jones Endowed Professor for Artificial Intelligence | La Verne, California, United States | University of La Verne

Position:	Fletcher Jones Endowed Professor for Artificial Intelligence
Institution:	University of La Verne
Location:	La Verne, California, United States
Duties:	teach in an on-ground, hybrid, telepresence, and online course modalities; teach six undergraduate courses per year in the Computer Science; Artificial Intelligence (AI), and Cybersecurity curriculum. Courses including but not limited to teaching AI, Python, Machine Learning, and Data Mining. Provide practical instruction in an engaged learning environment and enhance the learning experience of our students; have an exceptional scholarship with a proven record of high-impact research, scholarly, pedagogical, and practical expertise in Artificial Intelligence (AI)
Requirements:	Candidates must have a Ph.D. in Computer Science with a focus in Artificial Intelligence, Machine Learning or related fields and academic credentials that merit the rank of Assistant or Associate professor. The preferred candidate will also have a history of scholarly research and publication, 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

Text:	Skip to Main Content University of La Verne Human Resources Home / Job Openings Home Search Jobs Log In /Create Account Help Fletcher Jones Endowed Professor for Artificial Intelligence Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply for this Job link/button. If you would like to bookmark this position for later review, click on the Bookmark link. If you would like to print a copy of this position for your records, click on the Print Preview link. Bookmark this Posting \| Print Preview \| Apply for this Job Please see Special Instructions for more details. Application package should include, application, current curriculum vitae, academic transcripts, statement of research interests, statement of teaching philosophy and a list of names and contacts of three (3) references. Job Vacancy Position Information Functional Title Fletcher Jones Endowed Professor for Artificial Intelligence Position Details 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 (AI) - a full-time tenure-track or tenured position at the rank of Assistant or Associate Professor starting as early as the Fall 2023 semester. The University is looking for scholars exploring AI as discipline of Computer Science, the connections between AI and other disciplines, and pursuing research that address unique challenges in domains beyond computing, such as scientific machine learning, Robotics, cognitive neuroscience, explainable AI, sociotechnical systems, and human computer interactions. 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 that provide additional field research opportunities. 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. If you’re passionate about these values, join us at the University of La Verne! Specific Duties The ideal candidate will: teach in an on-ground, hybrid, telepresence, and online course modalities teach six undergraduate courses per year in the Computer Science - Artificial Intelligence (AI), and Cybersecurity curriculum. Courses including but not limited to teaching AI, Python, Machine Learning, and Data Mining. Provide practical instruction in an engaged learning environment and enhance the learning experience of our students. have an exceptional scholarship with a proven record of high-impact research, scholarly, pedagogical, and practical expertise in Artificial Intelligence (AI) have substantial experience leading curricular, co-curricular, and industry-based learning experiences with diverse undergraduate students embrace faculty-student collaborative research provide academic advising and mentoring participate in program design, modification, evaluation, revision, and course design. participate in the design, evaluation, revision, and development of culturally relevant curriculum, courses by collaborating with other discipline faculty participate in departmental and college governance activities through committee service and/or other appropriate activities, participate in faculty and staff meetings help the department move towards ABET accreditation serve as a catalyst for advancing the university and the region. adhere to the University policies and procedures complete other duties as may be assigned. Minimum Qualifications Candidates must have a Ph.D. in Computer Science with a focus in Artificial Intelligence, Machine Learning or related fields and academic credentials that merit the rank of Assistant or Associate professor. The preferred candidate will also have a history of scholarly research and publication, 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. The University is looking for scholars exploring the connections between AI and other disciplines or pursuing research that address unique challenges in domains beyond computing, such as scientific machine learning, cognitive neuroscience, explainable AI, sociotechnical systems, and human computer interactions. Moreover, the University is seeking candidates with exemplary interpersonal and communication skills. Candidate will be able to relate to and communicate with diverse students, faculty, staff, and external communities. 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. In addition, abilities or an interest in interdisciplinary initiatives within the Colleges is preferred. A background that allows some teaching in the area of Cybersecurity is preferred. Two year related industrial experience is a plus. Two years college teaching experience is desirable. Previous curriculum development and recruitment experience a plus. The ideal candidate will have a proven track record in teaching, creating interdisciplinary courses across colleges, and program management, along with industrial experience in AI, Robotics, Machine learning, or Predictive modeling. 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. Location La Verne Central Campus Salary Range Hiring Range Minimum $ $90,000 Hiring Range Maximum $ $115,000 Posting Details Posting Number 2018-190209FA Special Instructions to Applicants Application package should include, application, current curriculum vitae, academic transcripts, statement of research interests, statement of teaching philosophy and a list of names and contacts of three (3) references. Open Date Close Date Open Until Filled Yes Posting Specific Questions Required fields are indicated with an asterisk (). How did you hear about this employment opportunity? InsideHigherEd.com HigherEdjobs.com Referred by University of La Verne Employee University of La Verne Website ScholarlyHires.com Other Applicant Documents Required Documents Cover Letter Curriculum Vitae Teaching Philosophy Research Agenda Samples of Published Research Philosophy of Engagement Philosophy of a Teacher/Scholar Cover Letter with Teaching Philosophy Sample of a Research Paper Peer-reviewed publication Course Syllabi Diversity Statement Optional Documents Transcripts Letter of Recommendation 1 Letter of Recommendation 2 Letter of Recommendation 3 Student Evaluations Leadership Statement Teaching Evaluations Graduate School Transcripts Sample Materials Report a Problem University of La Verne 1950 Third Street La Verne , CA 91750 (909) 593-3511 © Copyright University of La Verne To ensure the security of your data, you will be logged out due to inactivity in 3 minutes at . Any data not saved will be lost. Click 'OK' to keep your session active.