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About the Role
Neara is creating reality by using advanced machine learning to build digital twins of electricity grids. We simulate extreme weather and structural stress to help utilities pinpoint risks, optimize investments, and build a more resilient global energy future. Our team is passionate about making a tangible difference in the real world, using AI and machine learning to accelerate data classification and complex scenario analysis. We foster a culture of innovation where everyone owns the mission.
Responsibilities
- 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, including asset replacement, vegetation management, and network redesign.
- Quantify the value of data including pole loading analysis, visual inspections, and the installation of new devices and remote sensing capabilities, both empirically and by analytical methods.
Requirements
- 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, demonstrated through influential publications, patents, or production systems.
- 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.
Skills
- Machine learning
- AI
- Risk modeling
- Uncertainty quantification
- Decision models
- Probabilistic modeling
- Model validation
- Scientific computing
- Catastrophe modeling
- Weather prediction
- Climate hazard modeling
- Power systems outage modeling
- Reliability engineering
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
Education Level
- PhD
Salary/Compensations
- Highly competitive compensation package including an equity component
Benefits
- Equity component
- Cutting-edge, 3D physics-enabled platform
- Access to unique network-scale utility data
- Opportunity to help develop and build Neara’s research modeling function
- Central role in shaping Neara’s long-term product roadmap, analytical standards and customer advisory services
- 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.
- Our simulations help asset owners understand challenges and implement solutions for millions of kilometers of infrastructure.
- We empower the world’s largest utilities to pinpoint risks, optimize investments and build a more resilient global energy future.
- Our team consists of brilliant minds dedicated to making a tangible difference in the real world.
- We have built a special culture where innovation thrives because everyone owns the mission.