Lecturer and/or Course Designer, Integrate Artificial Intelligence and Machine Learning into Information Technology and Cloud Computing Certificates

This job profile is only for faculty members hired to complete a short-term and/or part-time academic work assignment, such as teaching one or more courses for one or two academic terms. Wage Faculty (Adjunct) may only be paid via Period Activity Pay.

The School of Continuing and Professional Studies (SCPS), University of Virginia (UVA) seeks applications for one or more non-tenure track, part-time (faculty wage) lecturer position(s) to support the instructional design, (re)development, and delivery of courses in artificial intelligence (AI), machine learning (ML), and applied cloud-based AI technologies as part of Cloud Computing Undergraduate Certificate, Information Technology Undergraduate Certificate, and forthcoming AI and ML coursework.  

SCPS is hiring multiple positions to assist in updating existing courses and to develop new courses, with special attention to addressing AI- and ML-related learning outcomes. All courses are delivered in online three-credit courses at either the undergraduate or graduate level. 

Responsibilities may include reviewing and updating learning outcomes, aligning and building refreshed or new course content, developing assignments and assessments, supporting hands-on labs, and teaching or co-teaching live online undergraduate and/or graduate course sessions. For lecturer teaching assignments, the ability to lead engaging, interactive sessions online (primarily on Zoom) and in person is essential. 

Education Qualifications

Required: 

• A graduate degree (master’s degree or higher) in computer science, engineering, data science, information systems, or a closely related field is required. 

Preferred:

• Relevant AI, ML, data science, or cloud certifications (e.g., AWS, Azure, Google Cloud, or equivalent) are preferred. 

Experience Qualifications

Required:

• At least three (3) years of professional experience in artificial intelligence, machine learning, data science, or cloud-based analytics. This includes experience building, deploying, or working with AI/ML models, tools, or workflows. 
• At least two (2) years reaching, training, mentoring, or instructional support experience in technical or professional education settings. This may include experience teaching AI, ML, data science, or cloud computing in higher education, professional education, or corporate training environments. 

Preferred:

• Demonstrated willingness to stay current with emerging AI technologies, tools, and teaching strategies. 
• Experience designing hands-on labs, projects, or case studies using platforms such as AWS, Microsoft Azure, Google Cloud, or open-source ML frameworks. 

• Experience with online and/or in-person intensive training or education programs. 
• Proficiency using Canvas or similar learning management systems. 

• Relevant industry certifications and/or professional memberships.​

Remote Position 

This is a remote position, though preference may be given to individuals in or near Virginia. 

To Apply 

To apply, please submit an application online at https://jobs.virginia.edu and attach a current CV/Resume, Cover Letter, and the contact information for three references.
Search on requisition number:  R0084102.

Directions for Cover Letter 

Applicants should be explicit in the cover letter about 1) reason for their interest and 2) how their education and experience aligns with the required and preferred qualifications list above. Organizing the cover letter by the education and experience qualifications would be most helpful.

Additional Information

Questions related to the application process may be directed to Dr. Kai Degner, SCPS Senior Director of Certificate Programs, at [email protected].

The University will perform background checks on all new hires prior to employment. This position will also require educational verification. 
 

The job may occasionally require traveling some distance to attend meetings and programs. 

Additional Information

Wage Faculty and all personnel actions associated with them are governed and approved by the EVPP and policy PROV-026: Faculty Wage Employment. Faculty wage appointments are subject to change and carry no expectation of renewal from year to year. 

Faculty wage employment is usually less than 0.5 FTE (teaching fewer than 6 credits or the equivalent of no more than 19 hours per week); is offered for only one or two semesters at a time; and applies to faculty members paid solely via Period Activity Pay. Wage Faculty (Adjunct) positions are at-will and come with no expectation of renewal, and are not eligible for leave or other benefits.

Because of the significant disciplinary differences between schools, specific employment expectations vary by school and are described in local school policies. Schools may have additional expectations of Wage Faculty who have other documented responsibilities.

Physical requirements of faculty will vary, but may include some or all of the following: traveling to and from work location, other UVA or UVA Health facilities, or to other locations in the U.S. or abroad for meetings or research; using computers, specialized equipment, and other technologies; remaining stationary, moving, bending, lifting, and reaching; performing procedures using fine motor skills; communicating effectively, in writing, in person, in the classroom, online, and in clinical settings; and interacting with others such as colleagues, other academic and medical peers, students, patients, and the public.

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.