Open Positions

The newly established Wildfire Research and Technology Lab at University of Nevada, Reno invites applicants for multiple scientific positions to conduct research in technological and scientific aspects of Wildfire Science and Engineering across the Pre-Fire, Active-Fire, and Post-Fire domains.

 

We seek dynamic individuals with a knowledge of fire science who are willing to work within a multidisciplinary team in a fast-paced research and development environment, learn new skills, interact with stakeholders, and produce high-quality research and technology products. The positions are part of a cluster hire in support of the Lab. The candidates will interact with other research teams 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.   

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For Pre-Fire domain, we seek candidates with strong background in engineering risk, reliability, and stochastic simulation concepts with experience in wildfire modeling and loss assessment and regional planning of rural communities. The individual will contribute to the development of solution platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel accumulation and running physics-based or data-driven wildfire simulations to design and assess scenarios for risk mitigation.

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For Active-Fire domain, we seek candidates with strong background in analytical and computational methods related to physics-based wildfire simulation, fuel modeling, remote sensing, data-driven methods, artificial intelligence, and real-time applications. The successful candidates will contribute to the development of faster than real-time data and modeling tools for emergency response management and decision support.

 

For Post-Fire domain, candidates will establish quantitative links between wildfire behavior with post-fire ecological consequences affecting landscapes and water bodies to quantify impacts and establish boundary conditions for recovery modeling. Specifically, we seek capable individuals with proficiency in modeling to assess how post-wildfire impacts soil functioning (infiltration, runoff, strength, composition, biology), smoke deposition, carbon and nutrient alteration and transport, impacts of altered vegetation, soil and hydrology on landscape functions, and targeted restoration strategies for accelerating recovery of fire-affected landscapes.