DU is the oldest and largest private, independent university in the Rocky Mountain Region. DU’s vision is to be a great private university dedicated to the public good. DU is an R1 research university with very high research activity and an exceptional commitment to its undergraduate and graduate students.
The Ritchie School of Engineering and Computer Science has research strengths in cybersecurity, privacy, human-computer/robot interactions (HCI/HRI), robotics, autonomous systems, computational geometry, game development, and machine learning with support from industry and federal sources. The Computer Science Department offers the following degrees: BS, BA, MS and PhD in Computer Science, BA in Applied Computing, BS and BA in Game Development, MS in Cybersecurity, and MS in Data Science (online or on-campus).
Denver, the Mile-High City, consistently ranks as one of the best places to live in the United States. Denver’s economy is rapidly growing and diversifying, with strengths in the aerospace, healthcare, financial tech, telecommunications, and IT-software sectors. Our region features a dry climate with 300+ days of sunshine annually and surprisingly mild winters. The nearby Rocky Mountains provide beautiful views and abundant recreational opportunities year-round. The city of Denver is home to several major league sports teams, diverse neighborhoods, and strong cultural and food scenes.
At DU, we are creating a better future, for all. DU’s Five Strategic Imperatives, a distillation of DU IMPACT 2025, represent our most pressing priorities and exciting potential. From our classrooms and labs in the city of Denver to our one-of-a-kind campus in the Colorado Rocky Mountains, we foster a Four-Dimensional Experience that focuses on intellectual growth, well-being, character, and career skill-building. Here, you will be part of a culture that enriches every member of the DU community and advances the greater good.
For more information about the Ritchie School of Engineering and Computer Science, please visit: https://ritchieschool.du.edu/.
The Master of Science in Data Science program is currently delivered through on-campus and online programs. The teaching position is a full-time, non-tenure-track faculty position. Appointment series and rank will be commensurate with the background and experience of the applicant.
The successful applicant will have a passion for teaching and a demonstrated ability to effectively teach Data Science courses in a university setting. Duties include six quarter-based courses per year, advising students, course development, and participating in department and university service. This position does not require research. We seek exceptional faculty who engage students inside and outside the classroom, deliver active and hands-on learning experiences; and authentically support our Justice, Equity, Diversity, and Inclusion (JEDI) mission.
Applicants with significant industry experience can be hired as an Assistant Professor of the Practice. The Professor of the Practice series is designed to provide students with connections to the profession of data science and its applications in private and/or public sectors.
Teaching Professorial Series
- Teaching Assistant Professors will be candidates with an MS or PhD in Computer Science, Data Science, or a related field and two or more years of applied experience by the time of appointment. A candidate having exceptional achievements in teaching, scholarly research, or creative activity as befits the requirements of the position, may also meet this criterion. Appointments at this rank will be made as a one-year -to- three-year contract depending on qualifications, where renewal is contingent on formal performance review.
Professor of the Practice Series
- Assistant Professors of the Practice will be candidates with an M.S. degree in an appropriate field of study and a minimum of 5 years of appropriate industry or equivalent experience with regionally recognized achievements or a Ph.D. in an appropriate field of study and a minimum of three years of relevant experience.
- M.S. in data science, computer science or a closely related field with appropriate experience
- Evidence demonstrating potential for excellence in teaching
- Expertise using common Python libraries and associated computational tools.
- Interest in integrating JEDI into teaching and service
- Ph.D. in data science, computer science or in a relevant field
- An applied background in data science at scale with particular focus on one or more of the following: neural network architectures, natural language processing, and machine learning operations
- Teaching experience in a college or university setting
- Evidence of course and/or assignment development in data science
- Experience with culturally responsive teaching and mentoring
- Standard office environment.
- Unexpected interruptions occur often, and stress level is moderate to high.
- Noise level is quiet to moderate.
- Ability to sit in front of a computer for an extended period.
- Occasionally required to move about the office/campus with the capability of transporting objects up to 20 lbs.
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: https://www.du.edu/registrar/calendars-deadlines the law school is on a semester system and has a different academic calendar here: http://www.law.du.edu/academics/registrar).
For best consideration, please apply by November 15, 2023. However, review of applications will begin immediately. Applications will be reviewed until the position is filled.
Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted.
Salary Grade Number:
The salary grade for the position is UC.
The salary range structure for this position is as follows:
Teaching Assistant Professor - $80,000-$85,000 for a nine-month contract.
Assistant Professor of the Practice - $105,000-$110,000 for a nine-month contract.
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 pay more or less than the posted compensation 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.
he University of Denver offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO pass. The University of Denver is a private institution that empowers students who want to make a difference. Learn more about the University of Denver.
Please include the following documents with your application:
- Cover letter
- Curriculum Vitae
- A 1–2-page teaching statement describing ways you would contribute to our graduate academic programs in data science. Include how your teaching practices would contribute to our JEDI mission.
- A 1–2-page statement describing your reflections on JEDI and experience with activities that emphasize JEDI in practice. Please include examples of how you have integrated JEDI into your teaching and/or your work in data science to empower members of marginalized groups.
The University of Denver is an equal opportunity employer. The University of Denver prohibits discrimination on the basis of race, color, national origin, ancestry, age, religion, creed, disability, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, genetic information, military enlistment, or veteran status, and any other class of individuals protected from discrimination under federal, state, or local law, regulation, or ordinance in any of the University’s educational programs and activities, and in the employment (including application for employment) and admissions (including application for admission) context, as required by Title IX of the Education Amendments of 1972; the Americans with Disabilities Act; Section 504 of the Rehabilitation Act of 1973; Title VI and VII of the Civil Rights Act of 1964; the Age Discrimination Act of 1975; the Age Discrimination in Employment Act of 1967; Equal Pay Act; Colorado Equal Pay for Equal Work Act; the Colorado Protecting Opportunities and Workers' Rights (" POWR") Act; and any other federal, state, and local laws, regulations, or ordinances that prohibit discrimination, harassment, and/or retaliation. For more information, please see the University of Denver's Non-Discrimination Statement.
All offers of employment are contingent upon satisfactory completion of a criminal history background check.