Postdoctoral Appointee - R&D Data Science, Wildfire, Power Systems - Hybrid

About the position Responsibilities • Apply data science and geospatial techniques to create wildfire and power systems tools for electric utilities. • Demonstrate technical knowledge in data science applied to wildfire and power systems research challenges. • Develop innovative software and analytical solutions for emerging challenges in the power industry. • Collaborate with colleagues and external partners to create effective solutions. • Publish research outcomes in peer-reviewed journals and conferences. • Present research findings to sponsors and professional communities. Requirements • Ph.D. in a science, engineering, or math discipline. • Experience with data science applications, particularly in analyzing geospatial, wildfire, and electric power systems data. • Ability to obtain and maintain a DOE L-level security clearance. Nice-to-haves • Strong programming ability and analytical skills, particularly with Python. • Experience processing and analyzing geospatial data and/or power systems data. • Experience using machine learning, deep learning, and artificial intelligence techniques. • Technical knowledge in wildfire modeling and/or power system modeling. • Expertise in data science applications. • Strong verbal and written communication skills. • Self-motivated and able to work independently with minimal supervision. Benefits • Generous vacations • Strong medical benefits • Competitive 401k • Learning opportunities • Relocation assistance • Flexible work arrangements including 9/80 and 4/10 workweeks • Telecommuting options Apply tot his job Apply To this Job