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Johns Hopkins University, Whiting School of Engineering, seeks a Postdoctoral Fellow to study wildfire resilience and its impact on the built environment and communities. The fellow will develop computational models and collaborate with a cross-disciplinary team to advance risk-informed resilience strategies.
The successful candidate will work under Professor Thomas Gernay, contribute to numerical simulations, manuscript preparation, and proposals, and mentor students within the Multi-Hazard
Johns Hopkins, founded in 1876, is America's first researchuniversity and home to nine world-class academic divisions workingtogether as one university.
Salary : $ 63,480 - 80,000
Johns Hopkins University: Whiting School of Engineering: Departmentof Civil and Systems Engineering
Postdoctoral Fellow – Wildfire Resilience Job Summary
The Department of Civil and Systems Engineering at Johns HopkinsUniversity seeks a Postdoctoral Fellow to conduct research onwildfire resilience and the impacts of wildfires on the builtenvironment and communities.
The Postdoctoral Fellow will contribute to the development ofinnovative research methodologies, computational models, andrisk-informed approaches to better understand and enhance theresilience of structures and communities exposed to wildfirehazards. The research may address the interaction between wildfirehazards, the built environment, critical infrastructure, andcommunity recovery, with the goal of advancing strategies to reducedamage, improve resilience, and support effectivedecision-making.
The successful candidate will work under the supervision ofProfessor Thomas Gernay and collaborate with members of theMulti-Hazard Resilient Structures research group and otherinterdisciplinary research teams.
Doctorial degree in a related field.
The referenced salary range represents the minimum and maximumsalaries for this position and is based on Johns HopkinsUniversity's good faith belief at the time of posting. Not allcandidates will be eligible for the upper end of the salary range.The actual compensation offered to the selected candidate may varyand will ultimately depend on multiple factors, which may includethe successful candidate's geographic location, skills, workexperience, internal equity, market conditions, education/trainingand other factors, as reasonably determined by theUniversity.
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