Teaching Series Professorship, Data Science

Job no : 496536

All potential applicants are encouraged to scroll through and read the complete job description before applying.

Work type : Faculty Full-Time

Location : Denver, CO

Categories : Faculty

The Data Science Graduate Program at the University of Denver invites applications for one full-time, non-tenure track Teaching Assistant Professor faculty position.

Review of applications will begin in early September and continue until the position is filled. While this is not a tenure-track position, the career path is towards long-term contracts : 1- and 3-year contracts at assistant, 5-year at associate, and 7-year at full professor.

All teaching positions are considered full members of the faculty.

Position Summary

The hired individual will be responsible for teaching graduate-level data science and computing courses in our on-campus and online programs.

Duties include teaching six courses per year in a quarter-based system, advising students, updating courses, mentoring adjunct faculty, participating in department activities, participating in equity, diversity, and inclusivity efforts, and performing departmental and university service.

These positions do not require research. The successful applicant will have a passion for teaching and a demonstrated ability to teach data science courses.

Essential Functions

The hired individual will be responsible for teaching graduate-level data science and computing courses in our on-campus and online programs.

Duties include teaching six courses per year in a quarter-based system, advising students, updating courses, mentoring adjunct faculty, participating in department activities, participating in equity, diversity, and inclusivity efforts, and performing departmental and university service.

Knowledge, Skills, and Abilities

These positions do not require research. The successful applicant will have a passion for teaching and a demonstrated ability to teach data science courses.

Required Qualifications

• MS in Computer Science / Data Science or equivalent combination of education and professional experience.
• Evidence demonstrating potential for excellence in teaching.
• Interest in integrating 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 to effectively engage broadly diverse student populations.
• Ph.D. in Computer Science or related discipline.

Application Deadline

Review of applications will begin in early September and continue until the position is filled.

Special Instructions

Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted.

Salary Range : The salary range for this position is $80,000 - $85,000. 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 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 excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO pass.

Please include the following documents with your application :

• Curriculum Vitae
• Cover Letter
• Diversity Statement
• Teaching Statement
• Course Evaluations (if applicable)

The University of Denver is an equal opportunity employer. The University prohibits discrimination on the basis of race, color, national origin, age, religion, disability, sexual orientation, gender identity, gender expression, genetic information, marital status, veterans status, and any other class of individuals protected from discrimination under federal, state, or local law.

All offers of employment are contingent upon satisfactory completion of a criminal history background check.

Advertised : July 18, 2023

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