Join Our Team: Teaching Series Professorship, Data Science at the University of Denver
We are excited to announce an immediate opening for a dedicated Teaching Series Professorship, Data Science at the University of Denver. This hybrid role offers the flexibility to balance your time between our remote office and home, providing an excellent opportunity for those passionate about teaching and shaping the future of data science. The successful candidate will be part of a vibrant, welcoming, and optimistic educational community that values high-quality teaching and mentoring of graduate students.
About the University of Denver and the Data Science Graduate Program
The University of Denver (DU) is the oldest and largest private, independent university in the Rocky Mountain Region, welcoming approximately 5700 undergraduate and 8000 graduate and professional students to campus each year. Our Data Science Graduate Program, a component of the Department of Computer Science, offers a professionally focused, 48-credit curriculum leading to a Master of Data Science. This program can be completed through either our online or on-campus tracks, catering to a diverse range of students.
DU is an R1 university with an exceptional commitment to its students. Our Ritchie School of Engineering and Computer Science recently moved into a new $63M building, housing state-of-the-art research and instructional laboratories, classrooms, offices, and innovation spaces. This environment fosters collaboration, innovation, and academic excellence.
About Denver
Denver, the Mile High City, consistently ranks as one of the best places to live in the United States. With its rapidly growing and diversifying economy, strengths in aerospace, healthcare, financial tech, telecommunications, and IT-software sectors, Denver offers a unique blend of professional opportunities and recreational activities. The city boasts a dry climate with 300 days of sunshine annually, mild winters, and proximity to the Rocky Mountains, providing abundant opportunities for outdoor activities.
Position Summary
The hired individual will be responsible for teaching graduate-level data science and computing courses in our on-campus and online programs. Key duties include:
- Teaching six courses per year in a quarter-based system
- Advising students and updating courses
- Mentoring adjunct faculty
- Participating in department activities, equity, diversity, and inclusivity efforts
- Performing departmental and university service
These positions do not require research; instead, the focus is on excellence in teaching and mentoring.
Essential Functions
The successful applicant will have a passion for teaching and a demonstrated ability to teach data science courses effectively. This role demands strong communication and interpersonal skills, with the ability to engage with a diverse student body and faculty.
Key Responsibilities:
- Develop and teach graduate-level data science courses
- Advise and mentor students in the data science program
- Contribute to the development and updating of the data science curriculum
- Participate in departmental and university-wide service, including equity, diversity, and inclusivity initiatives
Requirements and Qualifications
Essential Qualifications:
- Master's degree in Computer Science, Data Science, or an equivalent combination of education and professional experience
- Evidence demonstrating potential for excellence in teaching
- Interest in integrating Diversity, Equity, and Inclusion (DEI) into teaching and service
Preferred Qualifications:
- Previous experience teaching a variety of data science courses using Python libraries
- An applied background in one or more of the following: machine learning operations, neural network architectures, distributed computing, and natural language processing
- Demonstrated knowledge of, and experience with, culturally responsive teaching methods and/or pedagogies
- Ph.D. in Computer Science or a related discipline
Skills and Competencies
The successful candidate will possess:
- Excellent teaching and communication skills
- The ability to work effectively in a diverse and inclusive environment
- Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines
- Proficiency in data science tools and technologies, particularly Python libraries
Career Growth Opportunities and Learning Benefits
The University of Denver offers a dynamic and supportive environment for professional growth. As a Teaching Series Professorship, this role provides opportunities for long-term contracts:
- 1- and 3-year contracts at assistant professor level
- 5-year contract at associate professor level
- 7-year contract at full professor level
Additionally, DU offers excellent benefits, including:
- Medical, dental, and retirement plans
- Paid time off
- Tuition benefit
- ECO pass
Work Environment and Company Culture
The University of Denver fosters a culture of diversity, equity, and inclusion. We are committed to building a culturally diverse and pluralistic faculty and staff who are dedicated to teaching and working in a multicultural environment. Our work environment is collaborative, supportive, and focused on student success.
Compensation and Benefits
The salary range for this position is $80,000 - $85,000 per year. The University of Denver is committed to providing a competitive compensation package that reflects the qualifications and experience of the successful candidate.
How to Apply
To apply for this exciting opportunity, please submit your application materials online, including:
- Curriculum Vitae
- Cover Letter
- Diversity Statement
- Teaching Statement
- Course Evaluations (if applicable)
The application deadline for best consideration is August 1, 2023. Applications will continue to be accepted until the position is filled.
Conclusion
We invite passionate and dedicated educators to join our team as a Teaching Series Professorship, Data Science at the University of Denver. This role offers the opportunity to inspire and educate the next generation of data science professionals in a dynamic and supportive environment. If you are committed to excellence in teaching and mentoring, we encourage you to apply for this exciting opportunity.
Apply Now