NREL

The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy’s effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States. NREL is subject to Department of Energy (DOE) access restrictions.  All candidates must be authorized to access the facility per DOE rules and guidance within a reasonable time frame for the specified position in order to be considered for an interview and for hiring. DOE rules for site access during the interview process depend on whether the candidate is interviewed on-site, off-site, or via telephone or videoconference.  All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Additionally, DOE contractor employees are prohibited from participating in certain Foreign Government Talent Recruitment Programs (FGTRPs). If a candidate is currently participating in an FGTRP, they will be required to disclose their participation after receiving an offer of employment and may be required to disengage from participation in the FGTRP prior to commencing employment. Any offer of employment is conditional on the ability to obtain work authorization and to be granted access to NREL by the Department of Energy (DOE). Drug Free Workplace NREL is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NREL, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. Please review the information on our Hiring Process website before you create an account and apply for a job. We also hope you will learn more about NREL , visit our Careers site , and continue to search for job opportunities at the lab.

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📍 United States of America

🧭 Internship

💸 50200.0 - 80300.0 USD per year

🔍 Software Development

  • Experience with numerical and/or stochastic optimization.
  • Previous experience in using high performance computing (HPC) tools.
  • Deep knowledge of probability and/or stochastic processes, e.g. Markov Chain.
  • Only current PhD students will be considered for this position.
  • Implement multi-fidelity simulation oracles for transportation systems.
  • Enhancing existing software by adding solvers and functionalities for testing various simulation optimization methods with multi-fidelity stochastic oracles.
  • Performing numerical analysis to fairly compare solvers in the presence of stochastic noise.

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📍 United States of America

🧭 Internship

💸 50200.0 - 80300.0 USD per year

🔍 Software Development

  • Only current PhD students will be considered for this internship.
  • Experience in deep learning models, Bayesian neural networks, graph neural network models, and probabilistic semantic graphs.
  • Experience in the formulation of mixed-integer optimization problems and open-source solvers for sensor placement in distribution systems.
  • Demonstrated experience in programming languages such as Python and MATLAB.
  • Experience with open-source, collaborative software development and use of tools such as GitHub or GitLab for project management and version control.
  • Develop sensor placement and optimization software tools for modern distribution power systems integrated with clean energy resources such as Photovoltaics, batteries, EV Charging Stations, and electric vehicles.
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  • Development of data driven forecasting and disaggregation models and validation of both centralized and distributed state estimation algorithms.

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📍 United States of America

🧭 Internship

💸 43700.0 - 69900.0 USD per year

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  • Familiarity with object-oriented programming
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  • Perform data collection and statistical analysis of CST and other industrial heat process production data.
  • Develop reduced-order models for system performance, incorporating uncertainty in exogenous factors (such as irradiance) and decision-dependent factors (such as designed system power delivery).
  • Perform sensitivity analysis on key assumptions for the model to understand the impact of key design parameters on system performance and profitability.
  • Write technical reports and contribute to project review meetings.
  • Publish research results in peer-reviewed conferences and high-impact scientific journals.

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