Grainger Engineering: Teaching Asst Prof or Teaching Assoc Prof- Civil and Environmental Engineering

University of Illinois Urbana-Champaign•Urbana, IL

2d•$105,000 - $120,000•Onsite

About The Position

The Department of Civil and Environmental Engineering in the Grainger College of Engineering at the University of Illinois Urbana-Champaign is hiring two full-time, non-tenure-track Teaching Assistant Professor or Teaching Associate Professor faculty members in Environmental Engineering and AI and Data Science for Civil and Environmental Engineering. These positions focus on shaping undergraduate education and preparing engineers to address societal challenges. Appointments are renewable, made on a nine-month service basis, and paid over twelve months. The anticipated start date is August 16, 2027, negotiable. Candidates will teach undergraduate and, where appropriate, graduate courses, particularly foundational courses at the 100-, 200-, and 300-levels. They will develop and coordinate courses and instructional materials, contribute to curriculum development and ABET assessment, advise and mentor students, participate in departmental service, engage with the engineering education community, and pursue professional development and scholarly or creative work related to teaching and learning, including serving as a principal investigator on grants. The Environmental Engineering position will contribute primarily to Environmental Engineering and Science (EES) and/or Water Resources Engineering and Science (WRES) courses. The successful candidate will collaborate with EES and WRES faculty to expand and strengthen the B.S. in Environmental Engineering curriculum, particularly foundational and intermediate courses addressing air, water, soil, climate, and environmental policy. The AI and Data Science for CEE position will provide instructional and curricular leadership in integrating artificial intelligence, data science, and computation throughout the CEE undergraduate curricula, including modernizing curricula to be resilient to student use of AI. The successful candidate will teach foundational and applied courses and collaborate across the department’s disciplinary areas. The role will help develop a rigorous approach to education in the context of AI that augments engineers’ creativity, disciplinary knowledge, and professional judgment. It may also contribute to flexible online educational programs for students, working professionals, and lifelong learners. The positions are benefits-eligible and eligible for work authorization sponsorship. The budgeted salary range is $105,000–$110,000 at the Teaching Assistant Professor level and $110,000–$120,000 at the Teaching Associate Professor level. Salary will be commensurate with qualifications and experience, while considering internal equity.

Requirements

Ph.D. in Civil Engineering, Environmental Engineering, or a closely related field by the appointment start date.
Demonstrated experience teaching at the undergraduate or graduate level.
Demonstrated effective classroom instruction.
Strong technical writing, communication, and presentation skills.

Nice To Haves

Contributions to engineering education through scholarly publications or conference presentations.
Experience using effective, accessible teaching practices that support students with varied backgrounds, experiences, and levels of preparation.

Responsibilities

Teach undergraduate and, as appropriate, graduate courses in the candidate’s area of expertise, with emphasis on foundational 100-, 200-, and 300-level courses.
Develop, revise, and coordinate courses and instructional materials using student-centered, evidence-based pedagogical techniques.
Contribute to curriculum development and ABET assessments.
Advise and mentor undergraduate and graduate students.
Participate in departmental service and the academic life of the department.
Contribute to the broader engineering education community through professional organizations, conferences, public engagement, and related activities.
Pursue professional development and scholarly or creative work related to teaching and learning in the discipline, including serving as principal investigator on internal and external grants.
For Environmental Engineering: collaborate with EES and WRES faculty to expand and strengthen the B.S. in Environmental Engineering curriculum, especially foundational and intermediate courses in air, water, soil, climate, and environmental policy.
For AI and Data Science for CEE: provide instructional and curricular leadership in integrating AI, data science, and computation throughout the CEE undergraduate curricula and modernizing curricula in light of student use of AI.
For AI and Data Science for CEE: teach foundational and applied courses and collaborate with faculty across the department’s disciplinary areas.
For AI and Data Science for CEE: help develop a rigorous model of education in the context of AI that augments engineers’ creativity, disciplinary knowledge, and professional judgment.
Potentially contribute to flexible and diverse online educational programs serving students, working professionals, and lifelong learners.