Carnegie Mellon University: College of Engineering: Information Networking Institute (INI)
Location: Pittsburgh, PA
Description:
The Information Networking Institute (INI) at Carnegie Mellon University (CMU) is soliciting applications for faculty at all levels for CMU's campus in Pittsburgh, PA. We are primarily seeking teaching track faculty candidates; however, there are opportunities for special track faculty.
The INI educates and develops engineers through technical, interdisciplinary master's degree programs in information networking, information security, artificial intelligence (AI), and mobile and IoT 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 ten 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 computer science, engineering, AI, public policy, management and human-computer interaction, among others.
The INI Faculty Experience
We are seeking faculty candidates in our core technical areas of information networking, information security, AI engineering and mobile and IoT 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, quantum computing and cyber operations. Outstanding candidates in other areas related to information networking, information security, AI engineering and mobile and IoT 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 students from a broad range of backgrounds.
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 the 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, which include driving curricular innovation and shaping the admissions process and holistic student advising.
Our 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 a culture that celebrates and values a wide range of opinions and intellectual perspectives. We are particularly interested in applicants who have a passion for nurturing a supportive environment in teaching and research at Carnegie Mellon.
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 metacurriculum offers distinct opportunities outside of the classroom where students learn to tackle problems, pilot new ideas and develop solutions for industry and government. We have over 3,000 alumni serving in high-powered companies, tech start-ups and government agencies, who return to the INI to recruit, mentor and inspire current students to follow their path to success.
Qualifications:
Doctorate in computer engineering, electrical engineering, computer science, or closely related fields is preferred, or equivalent combination of advanced degree in the listed fields, relevant teaching background, related 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.