Human Resources

Assistant Teaching Professor, Computer Science

Apply now Job No: 23146
Department: Computer Science
Work Type: Faculty
Location: Main Campus (Houghton, MI)
Full Time / Part Time: Full Time
Categories: Sciences, Computing, Computer Science

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.  

If you require any auxiliary aids, services, or other accommodations to apply for employment, or for an interview, at Michigan Technological University, please notify the Human Resources office at 906-487-2280 or

Job Description Summary

Michigan Technological University Department of Computer Science (CS) invites applications for an instructional track faculty position at the assistant teaching professor level. Applicants with the required education, experience, knowledge, skills, abilities, and accomplishments commensurate with a higher rank will also be considered for an appointment at the rank of associate teaching professor, teaching professor, or professor of practice. The successful candidate should be able to teach data science and machine learning courses beginning August 2024 (or as early as January 2024). The candidate may be expected to teach some other courses across CS curriculum as well.

Michigan Tech attracts world-class faculty and staff who enrich the educational experience of smart, motivated, and adventurous students. Applicants who are committed to promoting a sense of belonging and contributing to an equitable and inclusive learning environment for all are strongly encouraged to apply (

Essential Duties & Responsibilities (other duties may be assigned)

1. Teaching, a typical load is three courses per semester.
       A. Teaching core data science and machine learning courses
       B. Teaching introductory data science sequence courses
       C. Teaching CS curriculum as needed.
2. Assist in curriculum assessment and development.
3. Contribute to departmental service needs through departmental committees or other service responsibilities.
4. Integrate safety practices into daily activities and apply continuous improvement strategies to everyday work.

Required Education, Certifications, Licensures (minimum requirements)

The applicant must have earned an MS degree in Computer Science, Data Science, Informatics, or a closely related area.

Required Experience (minimum requirements)

Teaching or training experience in academia or industry.

Desirable Education and/or Experience

Teaching experience in data science courses
Industry experience with data science related jobs
Teaching experience in introductory-level undergraduate courses

Required Knowledge, Skills, and/or Abilities (minimum requirements)

Ability to teach effectively at the undergraduate level.
Strong interpersonal skills
Strong written and oral and presentation skills
Proficiency in Python programming

Desirable Knowledge, Skills, and/or Abilities

Demonstrate a passion for teaching
Demonstrate a strong interest in undergraduate education
Versatility and experience in teaching foundational as well as more advanced undergraduate courses on topics such as R programming, cloud computing, data engineering, etc.
Demonstrated success in, or potential future contributions to, working with persons from diverse backgrounds, creating a sense of belonging, and fostering a fair, objective, welcoming place to work for persons with a wide variety of personal characteristics and viewpoints.

Language, Mathematics and/or Reasoning Skills


Work Environment and/or Physical Demands

The work environment is that of a typical office and/or classroom setting. The noise level in the work environment is usually low to moderate.

Required Training and Other Conditions of Employment

Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.

Required University Training:

  • Employee Safety Overview

  • Anti-Harassment, Discrimination, Retaliation Training

  • Annual Data Security Training 

  • Annual Title IX Training

Background Check:

Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.

Other Conditions of Employment:

The successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. This is not an E-Verified Position.

Full-Time Equivalent (FTE) % (1=100%)


FLSA Status


Appointment Term

9 months



Pay Rate/Salary

Salary will be commensurate with qualifications and experience.

Title of Position Supervisor

Department Chair

Posting Type

Internal & External

Dependent on Funding


Special Instructions to Applicants (if applicable)

Review of applications will begin on November 1 and continue until the position is filled. Applications should be submitted online at Applicants will need to upload a (1) cover letter, o We strongly encourage applicants to address the required and desired qualifications in their cover letter along with an explanation of how they will contribute to the Vision and Mission of Michigan Tech; (2) Resume or Curriculum Vitae; (3) a statement of teaching philosophy and interests.

To learn more about the opportunity, please visit or contact the Interim Department Chair, Dr. Zhenlin Wang, at

Additional Information

The Department has 24 regular faculty members, 708 undergraduate students in three degree programs (Computer Science, Software Engineering, and a new Data Science BS program), and 124 graduate students in five graduate programs (MS in Computer Science, MS in Cybersecurity, MS in Data Science, MS in Applied Computer and Ph.D. in Computer Science). The department collaborates with the Department of Applied Computing on a BS in Cybersecurity and teaches a substantial portion of the courses required in other programs, particularly the BS in Computer Engineering.

Michigan Tech is an internationally renowned doctoral research university with approximately 7000 students and 400 faculty located in Houghton, Michigan, in the scenic Upper Peninsula on the south shore of Lake Superior. The area provides a unique setting where natural beauty, culture, education, and a diversity of residents from around the world come together to share superb living and learning experiences. Michigan Tech is nationally ranked among the best universities for job placement, return on investment and safety.

Michigan Technological University, one of the four major research universities in the State of Michigan, is located in Michigan’s Upper Peninsula adjacent to Lake Superior. The community offers a small-town environment with outstanding four-season recreational opportunities. Michigan Tech is located in Houghton, MI on the south shore of Lake Superior.

Michigan Tech is proud to be an ADVANCE Institution that has thrice received National Science Foundation support to increase diversity, inclusion, and the participation and advancement of women and underrepresented individuals in STEM.

Michigan Tech recognizes the importance of supporting faculty members’ partners; candidates selected for on-campus interviews will be invited to bring a guest. Additional details on our Partner Engagement Program can be found at

Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer, that provides equal opportunity for all, including protected veterans and individuals with disabilities.

Required Education, Certifications, Licensures* (minimum requirements)

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