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Job ID: 221270

INI Teaching Track and Non-Tenure Track Faculty Position
Carnegie Mellon University

Date Posted Sep. 13, 2023
Title INI Teaching Track and Non-Tenure Track Faculty Position
University Carnegie Mellon University
Pittsburgh, PA, United States
Department Information Networking Institute, College of Engineering
Application Deadline Open until filled
Position Start Date Fall 2024
  • Prof of Practice/Clinical Prof
    Core Faculty
  • Robotics
    Mechanical Engineering
    Industrial & Systems Engineering
    Electrical and/or Electronics
    Computer Engineering
    Computer Science
    Engineering - Other


The Information Networking Institute (INI) at Carnegie Mellon University (CMU) is soliciting applications for faculty at all levels for CMU’s main campus in Pittsburgh, PA. We are primarily seeking teaching track faculty candidates, however there are opportunities for special track faculty and/or research track faculty jointly with other departments at Carnegie Mellon.

The INI educates and develops engineers through technical, interdisciplinary master’s degree programs in information networking, security, mobile and IoT engineering, and AI engineering that incorporate business and policy perspectives. Established in 1989 in response to a demand from industry for professionals skilled in both computer science and engineering, the INI has evolved over the past three decades to become an integral part of Carnegie Mellon’s College of Engineering (a top five engineering school as ranked by U.S. News and World Report). Given the interdisciplinary nature of our programs, INI students have the unprecedented flexibility to take courses across disciplinary boundaries, such as: computer science, engineering, public policy, management, machine learning and human-computer interaction, among others.

The INI Faculty Experience

We are seeking faculty candidates in our core technical areas of networking, security, mobile and IoT engineering, and AI engineering, including but not limited to: mobile computing, embedded systems, Internet of Things technologies, telecommunications, data analytics and artificial intelligence, information security, software security, network security, artificial intelligence and cyber operations. Outstanding candidates in other areas related to networking, security, mobile and IoT engineering, and AI engineering are encouraged to apply. Teaching faculty play a vital role in advancing the INI's educational mission; we value candidates who are dedicated to enhancing student learning and demonstrate a passion for teaching a diverse student population.

From our uniquely interdisciplinary program structure and applied learning opportunities to our supportive advising model and exceptional student services, the INI is committed to delivering a transformational educational experience for our graduate students. Teaching track faculty have a primary responsibility of designing and leading courses and projects for INI, in addition to advising and mentoring students. They also have opportunities to pursue activities that align with their interests, such as advising student-led, industry-sponsored projects. Overall, INI faculty play an influential role in advancing the department’s strategic initiatives. For example, faculty contribute to our holistic student advising model and have the opportunity to shape the incoming class of students they will teach through their engagement in the admissions process.

Our Collaborative and Inclusive Culture

We believe our people -- students, alumni, faculty, and staff -- are our core strength. We emphasize excellence, integrity, respect, collegiality, interdisciplinarity, continuous improvement and engagement in community, all within a welcoming, supportive and inspiring teaching and learning environment. We cultivate an inclusive culture that celebrates and values a diversity of opinion and intellectual perspective from all individuals, regardless of ethnic origin, race, religion, gender, age, disability, sexual orientation and self-identity. We are particularly interested in applicants who are committed to, and have a passion for, a culturally diverse environment in teaching and research, and who demonstrate a willingness to nurture the inclusive Carnegie Mellon environment.

Through flexible, interdisciplinary curricula, INI students can customize their program experiences to help them realize their career aspirations. Beyond the rich academic experience, our vibrant meta curriculum offers distinct opportunities outside of the classroom to help tackle problems, pilot new ideas and develop solutions for industry and government. We have more than 2,700 alumni that have gone on to serve high-powered companies, tech start-ups and government agencies, always returning to the INI to recruit, mentor and inspire current students to follow their path to success.


Doctorate in computer engineering, electrical engineering, computer science, or closely related fields is preferred, or equivalent combination of advanced degree in the listed fields with strong teaching background, relevant industry experience and/or tech entrepreneurship, and other related qualifications.

Depending on a candidate’s teaching history, industry experience, and qualifications, positions will be offered at the level of Assistant, Associate, or Full Teaching Professor as appropriate.

Application Instructions

Individuals interested in INI’s open faculty positions should apply online at We will continue to accept and review applications until the position is filled.

In order to be considered for this position, please submit a complete application which includes cover letter, CV, separate teaching and research statements appropriate for the position(s) specified in the application, diversity statement, and three references who will be asked to provide confidential letters of recommendation. If desired, candidates can include additional materials with their application.

  • Carnegie Mellon University is committed to Equal Employment Opportunity and Affirmative Action (EEO/AA). The university bases its employment decisions on the principle of equal employment opportunity. All personnel actions including, but not limited to, recruitment, hiring, training, promotion, compensation, benefits, transfer, layoff, return from layoff, education tuition assistance and social and recreational programs are administered in accordance with the university's commitment to non-discrimination. Further, the university takes affirmative action to attract qualified candidates for employment who are minority, female, individuals with disabilities, disabled veterans and veterans of the Vietnam Era; ensures that bona fide job-related and valid requirements are used to evaluate employees for promotion and applicants for employment; and complies with applicable federal, state and local laws, statutes, orders and regulations prohibiting discrimination on the basis of race, color, religion, gender, age, national or ethnic origin, gender identity, sexual orientation, veteran status or non-job-related disability.

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