Postdoctoral Scholar, Civil and Environmental Engineering
University of Nevada, RenoAbout the role
The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be submitted prior to the close of the recruitment.
If you need assistance or have questions regarding the application process, please contact our recruitment helpline at (775) 784-1495 or jobs@unr.edu. For UNR Med professional job postings, please contact the Office of Professional Recruitment at (775) 784-6778.
Job Description
The Wildfire Science and Engineering Lab at University of Nevada, Reno invites applicants for multiple Postdoctoral Fellow positions to conduct research in the emerging field of Wildfire Engineering across the Pre-Fire and Active-Fire domains. We seek dynamic individuals with knowledge of fire science (or related fields) who are willing to work within a multidisciplinary team in a fast-paced research and development environment, learn new skills, and produce high-quality research products. The candidates will interact with other research members at the Lab as well as faculty members at UNR and other partnering institutes and agencies. The Lab is committed to postdoctoral mentorship and supports independent career development for successful candidates.
For Pre-Fire domain, we seek candidates with strong background in probability, engineering risk, reliability, and stochastic simulation concepts with experience in wildfire modeling and loss assessment and mitigation design for communities at the wildland-urban interface (WUI). Successful candidates will contribute to the development of solution platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel modeling and mapping, and running physics-based or data-driven wildfire simulations to design and assess scenarios for risk mitigation.
For Active-Fire problem domain, we seek candidates with strong background in analytical and computational methods for physics-based wildfire simulation and atmospheric modeling, artificial intelligence, and near real-time applications. The successful candidates will contribute to the development of high-performance and GPU-enabled
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s