Adjunct Faculty in Artificial Intelligence | DePaul University - Military Veterans

DePaul University DePaul University is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, national origin, age, marital status, physical or mental disability, protected veteran status, genetic information or any other legally protected status, in accordance with applicable federal, state and local EEO laws. 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. Apply for this Job Posting Details Job ID: 95121 College/School: Chicago, IL - Jarvis College of Computing & Digital Media Responsibilities: .indent-list ul {list-style-position:inside;} DePaul's Jarvis College of Computing & Digital Media (CDM) is located in the heart of Chicago's Loop, the central business district of Chicago. CDM students come from a variety of backgrounds and cultures therefore CDM is interested in recruiting and maintaining a diverse faculty. Part-time teaching positions are available throughout the academic year, including summer sessions. Academic course schedules fluctuate from quarter to quarter, and the college will work with selected individuals to determine a quarterly schedule. Courses are not guaranteed, however the college does its best to give ample notice about available courses. Applicants with expertise that matches course scheduling needs will be contacted for an interview. The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx . Required Qualifications: 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. Special Instructions to Applicants: 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. Applicant Documents Cover Letter(1) Resume(1) Diversity Statement(1) PI255569111