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The University of Nevada, Reno invites applications for the rank of Assistant Professor of Chemical Engineering – Critical Materials. This full-time, on-site position is based in Reno, NV and includes teaching undergraduate and graduate courses, developing inclusive curricula, and building a nationally recognized, externally funded research program.
Ideal candidates will have a Ph.D. in chemical engineering, expertise in critical materials, and a strong record of scholarship.
Company Description The University of Nevada, Reno, founded in 1874 as Nevada’s land-grant university, enrolls more than 21,000 students. The institution offers extensive outreach and education programs across all Nevada counties and is home to one of the nation’s largest study-abroad programs as well as the state’s medical school.
Role Description The Assistant Professor of Chemical Engineering – Critical Materials is a full-time, on-site role based in Reno, NV. The position involves teaching undergraduate and graduate courses in chemical engineering and related areas, with an emphasis on critical materials, and developing inclusive, high-quality curricula. The successful candidate will develop a nationally recognized, externally funded research program, foster interdisciplinary collaborations, and contribute to undergraduate and graduate education in chemical engineering.
A Ph.D. in chemical engineering or a closely related field is required, and the candidate must hold at least one degree in chemical engineering. The candidate must possess expertise in critical materials, broadly defined. Candidates are requested to describe in the cover letter how their research fits under the umbrella of CM.
Preference will be given to candidates whose work advances areas aligned with the DOE METALLC initiative, including processing of brines, leachates, and secondary feedstocks; solvent extraction, ion exchange, membranes, and other novel separation processes; electrochemical and thermochemical refining; process design, optimization, and intensification; technoeconomic and life-cycle analysis; and critical element recovery and recycling using molecular-based approaches. Applicants with experience applying machine learning tools in their research are especially encouraged. A demonstrated record in teaching is desired.
For full consideration, applications must be received by November 30, 2026. This posting is open until filled. Qualified individuals are encouraged to apply immediately. This search is open until a hiring decision has been made.