Senior Research Scientist - Risk

The role

You will contribute to the applied research function for infrastructure risk and resilience. You will define a research agenda, develop statistical and decision models, and translate findings into tools and recommendations for utilities.

What you will do

• Contribute to Neara's applied research function for infrastructure risk and resilience.
• Establish rigorous standards for risk modeling, uncertainty quantification, and decision-making.
• Develop predictive models for equipment damage, vegetation failure, outage likelihood and duration, and wildfire-related risk.
• Design decision models that quantify the operational and economic consequences of resilience and reliability investments.
• Quantify the value of data including pole loading analysis, visual inspections, and the installation of new devices and remote sensing capabilities.

Required qualifications

• A PhD in statistics, applied mathematics, physics, computer science, operations research, engineering, or a comparable record of original research and applied technical work.
• Proven track record of independently defining, driving, and executing a substantial research agenda as a senior individual contributor or industry principal.
• Recognized subject matter expert with deep technical authority and a history of setting research direction without needing direct management oversight.
• Extensive experience in probabilistic modeling, uncertainty quantification, model validation, scientific computing capabilities and decision-making under incomplete information.
• Substantial experience modeling operational systems.
• Particularly relevant topics include insurance or catastrophe modeling; weather prediction and climate hazard; outages in power systems; and reliability engineering.

Benefits

• Highly competitive compensation package including an equity component
• Access to unique network-scale utility data
• Flexible hours and working arrangements

About the company

Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents. The company helps asset owners understand challenges and bring solutions to life across millions of kilometres of infrastructure.