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Research Software Engineer

Bellevue, Wa, Washington, United States

Ref#: 3436

Date published: 09/21/17

Research Software Engineer – Energy Grid Modeling (Contractor – 3-9 months with possibility of extension)

Global Good is a collaborative effort between Bill Gates and Intellectual Ventures (IV) to tackle humanity's toughest problems through invention, focusing on developing countries.    We work with governments, NGOs, and commercial partners around the world to conceive, develop, and deploy inventions that save lives.     

You’ll be partnering with key personnel at Global Good and work closely with creative world-class business professionals, scientists and inventors at IV and the IV Lab to bring our ideas through innovation and into reality.

The Renewable Energy group seeks a research software engineer who will be responsible for creating a new set of models, related to renewable energy, which will provide decision support for future energy grid design, operation, and facility siting. The focused data may include wind, solar, grid demand data, weather data, demographic indicators, planned and existing energy generation facility locations, and energy storage. Often times the data sets available for geographic areas of interest will be sparse or will be dispersed across multiple sources. In this case, the data modeling specialist would be responsible for using models to reconstruct more detailed data sets that could represent the actual dynamics.  

Our team seeks individuals with demonstrated achievements and a passion for excellence. Our compensation package is in line with this commitment.

Qualifications and Skills
  • Ph. D. in Statistics, computer science, applied mathematics, or a similar quantitative field of study.  Strong scientific computer modeling background highly desired
  • 2+ years related work experience 
  • Direct experience with machine learning techniques and libraries
  • Expert capability to read & write code in a language like R, Mathmatica or Matlab, and Python, C/C++ experience a plus
  • Knowledge of renewable energy and electric grid modeling is strongly preferred.
  • Experience in managing and organizing large scientific data sets is strongly preferred.
  • Experience working effectively as a part of a software development team is required
  • Must be a clear and effective communicator
  • Must be self-motivated and results-minded
  • Must have strong analytical skills
  • Build data processing tools in Python, C/C++, Matlab, Mathematica, or R to support electric grid simulation.   
  • Work with the research and modeling team in order to identify and anticipate data needs
  • Program existing platform to manage multiple, disparate inputs to provide decision support
  • Collect, analyze and process data to inform the modeling effort
  • Assemble input data sets and model validation data sets
  • Run model sensitivity analysis to determine the impact of uncertain data sets
  • Assist and lead the production of reports and presentations
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