Machine Learning Part Time Jobs in Denver, CO (NOW HIRING)

Department
Computer Science
By applying to this posting, you are entering an applicant pool for affiliate faculty. Screening of applicants will take place when positions come available. The number of these temporary, part-time, non-tenure track academic positions varies from semester to semester, depending on the needs of the program. As such, not everyone in the applicant pool for this position will be contacted and/or selected to teach.
About the University
Established in 1965, Metropolitan State University (MSU Denver) was founded to serve students who were underrepresented in higher education whose life paths and experiences did not fit the traditional mold. Sixty years later, the University continues to serve over 16,000 of Colorado's extraordinary and diverse students, providing them with the foundation on which to build their unique aspirations. As the third largest public institution of higher education in Colorado, MSU Denver is a model university for today's college students.
Proud of its federal designation as a Hispanic-Serving Institution that also offers graduate programs (gHSI) and the only Seal of Excelencia certified institution in Colorado, the University serves the most diverse undergraduate student population in the state, as well as the most first-generation students. Through affordable, flexible, and holistic education, MSU Denver helps students build essential skills grounded in a multicultural and global perspective that lead to undergraduate and graduate degrees, and career and life success.
At MSU Denver, we are committed to our CADRE values: Community, Access, Diversity, Respect, and Excellence. We strive to create a supportive and inclusive environment where all community members are valued and belong. Our dedication to breaking down barriers to education, fostering open dialogue, and promoting world-class scholarship ensures that we provide exceptional services and innovative learning opportunities for our students, faculty, and staff.
About the Department of Computer Sciences
The Department of Computer Science is a dynamic and innovative department, with 12 full-time tenure-track/tenured and lecturing professors. Our faculty members are recognized leaders in their fields, frequently interviewed by TV programs for their expert insights and have received prestigious NSF funding and external industry funding. Our faculty members are actively engaged in many conferences, including in Computer Science Research and Computer Science Education.
The department offers BS in Computer Science, BS in Data Science and Machine Learning, as well as interdisciplinary programs in Cybersecurity. Additionally, the department is home to numerous student clubs that foster community, innovation, and professional development among our students. For more information about the Department of Computer Sciences in our College of Aerospace, Computing, Engineering, and Design, please visit: https://www.msudenver.edu/computer-sciences.
Position Summary
The Department of Computer Sciences at Metropolitan State University of Denver (MSU Denver) invites applications for part-time affiliate faculty teaching positions. We seek dynamic educators with a passion for computer science and a commitment to inclusive, experiential learning.
Responsibilities

• Deliver engaging undergraduate and/or graduate courses in computer science
• Incorporate experiential learning opportunities into course design
• Foster an inclusive classroom environment that encourages diversity of thought and experience

An affiliate faculty member's duties may include but are not limited to: teaching assigned classes in person or online by delivering course content to students, preparing course materials and lesson plans, grading student work, providing students with robust feedback in a timely manner, addressing student questions consistent with university, college/school, and department policies, and providing online or in person academic support to students as needed and appropriate for the teaching assignment; providing instruction in assigned classes consistent with the content and learning objectives of the regular course syllabus and, if required, with department course coordination policies; and complying with university-wide student evaluation of instruction policies and peer observation policies. The ability to adapt and learn new modes of instruction is highly encouraged. Candidates need to be sensitive to the educational needs of a diverse student population.
Required Qualifications
Master's degree in Computer Science or related fields
Preferred Qualifications
Doctoral degree in Computer Science or related fields
Terms of Employment
Affiliate faculty are part-time, at-will employees hired to teach on a per credit hour basis for specific classes, usually on a semester-by-semester basis. Affiliate faculty are not eligible for benefit coverage under the University's benefit program. All such teaching assignments are dependent on budget and enrollment.
Qualified candidates will be expected to teach in person/on campus upon hire.
Salary for Announcement
The final salary is based on the number of credit hours assigned at a rate determined by university policy.
Rate of pay per credit hour assignment can be between $1233 - $1512.
For more information, you may view pay rates here: Affiliate Rates.
How to Apply
Candidates must apply online through MSU Denver's career site, https://www.msudenver.edu/careers. Complete applications will include the following materials:

• Curriculum vitae
• Cover letter
• A list of three professional references and their contact information

If selected for an interview, unofficial transcripts will be requested for submission.
Applicants will notice on the application portal there is one location (the resume/cover letter submission field) to upload all required materials. Multiple documents can be submitted into this one field; alternatively, merge all documents into one PDF and upload. Once submitted, you will not be able to edit your application.
Official transcripts will be required of the candidate selected for hire.
Closing Date
Open Until Filled
Posting Representative
Tanya Rogowsky
Posting Representative Email
trogowsk@msudenver.edu
Benefits
The University's benefits package is comprehensive and offers medical, vision and dental, free RTD pass, tuition reimbursement, as well as a life and supplemental insurance plans, retirement plans and other programs, such as access to a long-term disability (LTD) plan. Visit MSU Denver's benefits website to learn more.
For a brief overview, please see: https://www.msudenver.edu/wp-content/uploads/2024/01/MSU-Benefit-Summary.pdf.
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at totalrewards@msudenver.edu.
Background Checks
Metropolitan State University of Denver is dedicated to ensuring a safe and secure environment for our faculty, staff, students, and visitors. To Assist in achieving that goal, we conduct background checks on all finalists for positions at the University prior to employment.
Diversity Statement
Metropolitan State University of Denver is a unique, access-oriented campus community that values diversity, equity, and inclusion in all its forms. Our student population consists of nearly 58% first generation students and over 50% students of color. We are a designated Hispanic Serving Institution located in downtown Denver.
We create an equitable learning and working environment in concert with individuals who consistently demonstrate commitment to equity and inclusion. We greatly value the diverse identities and perspectives of our students, faculty, and staff and recognize that in order to achieve a just and equitable society, diversity must go beyond simple representation. It requires critical inquiry and dialogue and a commitment to action. We strive to provide a culture of belonging for all community members to achieve personal and professional success.