Job Information
University Of Denver Adjunct Faculty, Data Science in Denver, Colorado
This is a general posting that will serve to create a pool of applicants for adjunct faculty openings throughout the 2023-2024 academic year. Should we have an opening and be interested in pursuing your application, we will contact you with specific information.
About the Data Science Graduate Program
The Data Science Graduate Program is a component of the Department of Computer Science at the University of Denver. We offer a professionally focused, 48-credit curriculum leading to a Master of Data Science, which students can complete through either our online or on-campus program tracks. The University operates on a quarter system with 10-week terms. Adjunct Faculty are hired on a per-term basis and often teach one or more courses throughout the year.
We are dedicated to building a culturally diverse and pluralistic faculty and staff who are committed to teaching and working in a multicultural environment. We especially welcome applications from women, minorities, members of the LGBTQ community, people with disabilities, and veterans.
Position Summary
The Data Science Graduate Program at the University of Denver invites applications for adjunct faculty for our in-person and online programs. We are particularly interested in hearing from applicants who are qualified to teach the following classes: 1) COMP4531: Deep Learning: Model Design and Application, 2) COMP 4334: Parallel and Distributed Computing, 3) COMP 3421: Database Organization and Management.
For more information on our Data Science courses and curriculum, please refer to the University of Denver's 2023-24 graduate bulletin.
Essential Functions
Adjunct faculty in the Data Science graduate program are subject matter experts in their field and integrate professionally relevant, diverse examples into their teaching and discussions. They meet the following expectations:
Prepare and facilitate course lectures and inclusive learning online or in-person. Maintain weekly office hours and consistent presence in assigned course(s). Model and promote critical thinking as well as skill development. Provide specific, relevant, timely feedback and grading. Model and uphold academic standards and practices.
Required Qualifications
MSin Computer Science/Data Science or equivalent combination of education and professional experience. Content expertise in assigned course(s) Evidence demonstrating potential for excellence in teaching.
Preferred Qualifications
Ph.D. in Computer Science or related discipline and/or industry experience. Evidence of success facilitating learning and mentoring opportunities for adults who seek an advanced degree. Expertise in the Python programming language. Demonstrated knowledge of, and experience with, culturally responsive teaching methods and/or pedagogies to effectively engage broadly diverse student populations.
Work Schedule
While the University's administrative offices are open Monday - Friday, 8:00 am - 4:30 pm, faculty schedules vary from term to term and are based on courses taught, service commitments, and research agendas. The University's academic calendars are posted on the registrar's website (the law school is on a semester system and has a different academic calendar).
Application Deadline
Applications for this position will be reviewed on a rolling basis throughout the 2023-2024 Academic year. This position will remain open until filled.
Special Instructions
Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted.
Course Rate
The course rate for this position ranges between $2,997.00 and $5,994 per course section and 10-week term.
The University of Denver has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The University may ultimately pay more or less than the posted comp nsation range. The salary offered to the selected candidate will be determined based on factors such as the qualifications of the selected candidate, departmental budget availability, internal salary equity considerations, and available market information, but not based on a candidate's sex or any other protected status.
Benefits
The University of Denver offers some benefits for non-benefited employees. The University of Denver is a private institution that empowers students who want to make a difference. Learn more about the University of Denver.