Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions

Position Title & Department:
Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions

Posting #
5037

University Description:
The University of San Diego, a contemporary and engaged Contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity's urgent challenges.

Detailed Description:
The University of San Diego, Professional and Continuing Education is looking for an adjunct faculty member to teach and/or develop online classes in our Artificial Intelligence for Business Solutions program. The program will consist of eight 1-unit courses. These courses are offered in the online self-paced format and students have 6 months to complete it. Each of these eight courses will be four weeks in length.

The University of San Diego is committed to enriching the educational experience it offers through the diversity of its faculty, administrators, and staff members. The college seeks to recruit and support a broadly diverse team who will contribute to the college's excellence, diversity of viewpoints and experiences, embrace concepts of equity and inclusiveness and support the equal rights of all people by advancing the understanding and appreciation of differences including age, race, gender, ability, religious convictions, socio-economic status, ethnic heritage, or sexual orientation.

While we appreciate your interest in employment with the University of San Diego, applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for any position.

Job Duties and Responsibilities:
Teaching responsibilities include teaching, assessing student progress in meeting the learning objectives through formal and informal assessment, holding office hours, meeting required deadlines for submitting grades, attendance, and other information, as requested, and adhering to safety procedures and departmental standards. Development responsibilities include working with the Learning Design Team to create and develop the course in our learning management system while meeting agreed upon deliverable dates.

Work Mode: This position is entirely remote.

Work Schedule: Online as Needed

Special Conditions of Employment:
Effective June 1, 2023, based on CDC guidance, the University strongly encourages all campus members to stay up to date with Influenza and COVID-19 vaccination recommendations. For more regarding information USD's COVID-19 protocols, please visit sandiego.edu/onward.

Background check: Successful completion of a pre-employment background check.

Job Requirements:

Required Qualifications:
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. (Such as mathematics; with an emphasis on algorithms, data structures, and programming languages like Python.) Working knowledge of generative AI techniques, such as GANs and VAEs is a plus. A minimum of two (2) years of full-time professional experience in these areas is required.

Preferred Qualifications:
Prior experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineer, Data Analysis preferred.

Experience with the Canvas learning management system is a plus.

Posting Salary:
$40-44/hour

The salary range provided in this posting reflects what we reasonably expect to pay for this position. Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget.