Carnegie Mellon University:

College of Engineering:

Mechanical Engineering Location:

Pittsburgh, PA Description:

The Department of Mechanical Engineering at Carnegie Mellon University (CMU) invites applications for a teaching-track faculty position in the area of artificial intelligence and machine learning (AIML). This position represents an exciting opportunity to shape how AIML is integrated into the education of future mechanical engineers through innovative teaching, curriculum development, and departmental leadership. We welcome candidates with a broad range of backgrounds who have experience in the fundamentals of AIML and their application to mechanical engineering and scientific systems. We are strongly committed to all members of our community: students, faculty, and staff. Our educational mission is to inspire and teach the next generation of engineers, who will conduct engineering-, science-, and technology-related work that addresses important societal challenges. We strive to accomplish this mission with the highest dedication to quality, integrity, and respect for others. We are particularly interested in applicants who demonstrate an eagerness to strengthen the values of collaboration and interdisciplinarity at CMU. The Mechanical Engineering department consists of approximately 45 faculty, 550 undergraduate students, and 450 graduate students. We have a dynamic and passionate faculty who create a collaborative, intellectually vibrant, and supportive environment. Their work is defining the future of engineering. A new world-class building with state-of-the-art research and educational facilities recently opened as the home for Mechanical Engineering. The department provides a welcoming environment for educators to develop an academic career. CMU has a well-established teaching-track faculty line . In Mechanical Engineering, teaching-track faculty are fully integrated into every aspect of departmental life and are strongly represented in department leadership positions. All faculty in the department, including teaching faculty, benefit from professional development opportunities and robust support for developing and conducting their courses.

Expectations:

Teaching faculty are expected to teach graduate and undergraduate courses and to positively impact the educational experience of students inside and outside the classroom. The expected teaching responsibility for this position is the equivalent of six full courses per year (three each semester). However, course reductions may be made through engaging in scholarly activity to stay current with advances in AIML; providing formal AIML-related training for students, staff, and faculty; leading the department's AIML Fellows program; and taking a leadership role in developing and coordinating future AIML initiatives within the department. Teaching faculty are expected to be passionate mentors and advisors, and to serve with colleagues on department, college, and university committees. Teaching faculty have the opportunity to conduct research or engage in other activities that advance their professional development, provided those activities are consistent with the department's overall educational mission and goals of the position. Teaching faculty have a nine-month appointment and may pursue industry-based professional activities, or other activities, during the summer months, provided that such activities do not create a conflict of interest or interfere with the interests and responsibilities of the department.

Eligibility:

We seek individuals who hold an earned Ph. D. in a relevant discipline and have demonstrated dedication to our core values: scientific truth, educational excellence, creativity, quality, innovation, and engineering problem solving. Candidates with a strong record of publication in AI-related venues and/or experience in developing engineering applications of AI, together with demonstrated excellence in teaching and mentoring students, will receive particularly strong consideration. Appointments are typically made at the rank of Assistant Teaching Professor. Appointments may also be made at the rank of Associate Teaching Professor or Teaching Professor depending on your qualifications. Instructions to

Apply:

Applications should include: A cover letter. Your curriculum vitae. A teaching and mentoring statement of no more than four pages that outlines your experiences and how they shaped your pedagogical philosophy. This statement should also list the CMU Mechanical Engineering undergraduate and graduate courses that you are interested in teaching. A statement of no more than two pages that describes your past and potential contributions to professional service, particularly in STEM fields. Your statement may include examples of science and engineering outreach to K-12 students, leadership in student or professional organizations, and organization of conferences/workshops. You should request 4-5 professional references via the Interfolio system. Please also list these references and their contact information in your curriculum vitae.

Please visit:

[updated Interfolio link] to submit an application. Applications should be submitted as a single PDF document, except for the letters of recommendation, which should be requested individually through the confidential letter request function in Interfolio. You may wish to send an email to each of your letter writers to alert them that they will receive an automated email from Interfolio requesting that they upload their letter of recommendation. The automated Interfolio emails are sometimes mistaken for spam. Review of applications will begin immediately. Applications received by November 1, 2026 will be given full consideration. We encourage you to submit early. 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