Adjunct Faculty in Artificial Intelligence

Full-time Faculty Positions

Full-time faculty positions will be posted on a per-opening basis. Postings are organized by college/school and department. Applicants will be evaluated at the college/school level for the position which they are submitting an application. Unless noted by a close date, positions will remain open until they are filled. Qualified applicants are encouraged to apply.

Part-time Faculty Positions

DePaul University invites expressions of interest for a pool of qualified Part Time Faculty to teach courses in a variety of disciplines across all 10 colleges and schools. Individuals may enter expressions of interest by submitting their credentials to any posting for which they are qualified to teach. Postings are organized by college/school and department. Screening of individuals in the pool is ongoing, depending on curricular need and funding. Individuals will be contacted by the department if they reach the finalist stage for teaching a particular course or set of courses. The pool will remain in place until the closing date specified in the posting details; those interested in remaining in the pool beyond that time must resubmit. All individuals in the pool will be notified by email when the posting is closed.

Below you will find the details for the posting including any supplementary documentation and questions you should review before applying for the opening or submitting your interest in teaching. To apply for the position, please click the Apply for this Job link/button.

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Job ID: 95121

College/School: Chicago, IL - Jarvis College of Computing & Digital Media

Minimum requirements include a master's degree in the discipline, or 18 semester/27 quarter hours of graduate work in the discipline, or an undergraduate degree with a minimum of five years demonstrated relevant professional experience. Exceptions may be considered with approval of the dean.

The candidate must have demonstrated experience in working in teaching in a diverse learning environment.

The School of Computing offers a MS in Artificial Intelligence degree. At the end of the degree, students will be able to design and implement complex intelligent systems and integrate AI techniques into existing applications and processes. Students take courses in core AI concepts and techniques and explore relevant technical areas including natural language processing, big data systems, computer vision, image processing, robotics, and cybersecurity. We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.