Zymtronix Catalytic Systems Inc
Teaching Professor, Systems Engineering, Ithaca NY.
Zymtronix Catalytic Systems Inc, Northeast Ithaca, New York, United States
Teaching Professor, Systems Engineering, Ithaca NY.
The Cornell Systems Engineering Program is experiencing significant growth, driven by strong recognition through innovative industry collaborations and honors from leading professional societies. To support this momentum, we are inviting applications for a new faculty position at the rank of Assistant, Associate or
full
Teaching Professor. We seek a candidate with expertise in artificial intelligence and data science who can apply these skills to address engineering challenges in systems, particularly for manufacturing or energy systems. This position offers an exciting opportunity to design and deliver courses, lead impactful projects, and shape the future of smart manufacturing, energy optimization, and sustainable industrial solutions.
Position Overview This is an open‑rank, full‑time, on‑campus, non‑tenure‑track position with a long‑term, renewable appointment. The role focuses primarily on teaching a moderate number of courses and advising Master of Engineering projects. Candidates must hold a doctoral degree (Ph.D. or equivalent). Teaching Professors are expected to deliver high‑quality classroom instruction, contribute to curriculum development, advance pedagogical practices, and mentor other educators. Initial appointments are for up to three years for Assistant Teaching Professors and up to five years for Associate and
full
Teaching Professors.
Responsibilities
Design, deliver, and assess graduate‑level courses in systems engineering, including artificial intelligence, data science, and their application to manufacturing or energy systems.
Advise Master of Engineering projects and graduate students on systems‑related research and coursework.
Contribute to curriculum development, ensuring course content remains current and relevant to ongoing research in systems engineering.
Participate in strategic planning and operational decisions within the Systems Engineering Program.
Mentor and support other faculty and staff in pedagogical practices and inclusive teaching.
Qualifications
Doctoral degree (Ph.D. or equivalent) in systems engineering, artificial intelligence, data science, or a closely related field.
Demonstrated expertise in artificial intelligence and data science with experience applying these disciplines to manufacturing or energy systems.
Strong teaching record at the graduate level, with evidence of high‑quality instruction and curriculum development.
Research experience that informs and enriches coursework, keeping content current with the latest developments.
Commitment to inclusive learning environments and experience advising students from diverse backgrounds.
Application Instructions Submit an online application (link) and include:
Teaching statement
Curriculum vitae
Contact information for at least three references
Optional brief course descriptions or syllabi of courses you plan to teach
Explanation of how you found the listing
Applications will be reviewed continually until the position(s) are filled. Interviews will begin as early as February 2026, with campus/virtual interviews starting mid‑March 2026. The search will remain open until the position is filled. Pay range: $58,300 – $237,300, determined by work experience, education, academic discipline, and unique applicable skills.
Contact: Gurpreet Kaur, Systems Engineering Director’s Assistant (gk457@cornell.edu).
EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds worldwide. No person will be denied employment on any legally protected basis or subjected to prohibited discrimination. Cornell embraces diversity and seeks candidates who will contribute to a climate that supports all identities and backgrounds. We hire based on merit and encourage individuals from historically underrepresented and/or marginalized identities to apply.
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full
Teaching Professor. We seek a candidate with expertise in artificial intelligence and data science who can apply these skills to address engineering challenges in systems, particularly for manufacturing or energy systems. This position offers an exciting opportunity to design and deliver courses, lead impactful projects, and shape the future of smart manufacturing, energy optimization, and sustainable industrial solutions.
Position Overview This is an open‑rank, full‑time, on‑campus, non‑tenure‑track position with a long‑term, renewable appointment. The role focuses primarily on teaching a moderate number of courses and advising Master of Engineering projects. Candidates must hold a doctoral degree (Ph.D. or equivalent). Teaching Professors are expected to deliver high‑quality classroom instruction, contribute to curriculum development, advance pedagogical practices, and mentor other educators. Initial appointments are for up to three years for Assistant Teaching Professors and up to five years for Associate and
full
Teaching Professors.
Responsibilities
Design, deliver, and assess graduate‑level courses in systems engineering, including artificial intelligence, data science, and their application to manufacturing or energy systems.
Advise Master of Engineering projects and graduate students on systems‑related research and coursework.
Contribute to curriculum development, ensuring course content remains current and relevant to ongoing research in systems engineering.
Participate in strategic planning and operational decisions within the Systems Engineering Program.
Mentor and support other faculty and staff in pedagogical practices and inclusive teaching.
Qualifications
Doctoral degree (Ph.D. or equivalent) in systems engineering, artificial intelligence, data science, or a closely related field.
Demonstrated expertise in artificial intelligence and data science with experience applying these disciplines to manufacturing or energy systems.
Strong teaching record at the graduate level, with evidence of high‑quality instruction and curriculum development.
Research experience that informs and enriches coursework, keeping content current with the latest developments.
Commitment to inclusive learning environments and experience advising students from diverse backgrounds.
Application Instructions Submit an online application (link) and include:
Teaching statement
Curriculum vitae
Contact information for at least three references
Optional brief course descriptions or syllabi of courses you plan to teach
Explanation of how you found the listing
Applications will be reviewed continually until the position(s) are filled. Interviews will begin as early as February 2026, with campus/virtual interviews starting mid‑March 2026. The search will remain open until the position is filled. Pay range: $58,300 – $237,300, determined by work experience, education, academic discipline, and unique applicable skills.
Contact: Gurpreet Kaur, Systems Engineering Director’s Assistant (gk457@cornell.edu).
EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds worldwide. No person will be denied employment on any legally protected basis or subjected to prohibited discrimination. Cornell embraces diversity and seeks candidates who will contribute to a climate that supports all identities and backgrounds. We hire based on merit and encourage individuals from historically underrepresented and/or marginalized identities to apply.
#J-18808-Ljbffr