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Postdoctoral Researcher – Data Analytics for Power Systems

💼 Graduate Job

Golden

🤑 $73.2K - $120.8K

AI generated summary

  • You must be a recent PhD graduate with expertise in data analytics, machine learning, optimization, and power systems modeling. Proficiency in programming, power system simulation tools, and experience with mathematical algorithms and forecasting is preferred.
  • You will work on developing data-driven technology for power systems operation, forecasting renewable energy, system identification, and contributing to open source data sets and advanced DER management algorithms using data analytics and machine learning.

Graduate Job

Research & Development, DataGolden

Description

  • The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.From day one at NREL, you’ll connect with coworkers driven by the same mission to save the planet. By joining an organization that values a supportive, inclusive, and flexible work environment, you’ll have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes.
  • NREL supports inclusive, diverse, and unbiased hiring practices that promote creativity and innovation. By collaborating with organizations that focus on diverse talent pools, reaching out to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels welcomed and respected and they can be their authentic selves.

Requirements

  • Must be a recent PhD graduate within the last three years.* Must meet educational requirements prior to employment start date.
  • Additional Required Qualifications:
  • Must be a recent PhD graduate within the last three years.
  • Solid knowledge in machine learning, deep learning, and uncertainty qualification
  • Solid knowledge in optimization
  • Solid power system domain knowledge in power system modeling, power flow analysis, state estimation, dynamics, and stability
  • Advanced ability to perform exploratory data analysis and gather actionable intelligence from large datasets using common data science toolkits: e.g., Scikit-learn, TensorFlow, etc.
  • Proficiency in one or more of the following programming languages: Python, R, Julia, MATLAB, C, C++
  • Proficiency in one or more of the following power system simulation tools: OpenDSS, GridLAB-D, PSS/E, and PSLF
  • Preferred Qualifications:
  • Experience with developing mathematical algorithms
  • Experience with power system forecasting problems
  • Experience with sensors and measurements
  • Experience with SAS software
  • Broad understanding and wide application of principles, theories, and concepts in operations, controls, and optimization of power systems areas

Education requirements

PhD

Area of Responsibilities

Research & Development
Data

Responsibilities

  • The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.
  • The Sensing and Predictive Analytics group at NREL is looking for an accomplished and dynamic candidate with sharp problem-solving skills, focus on impactful solutions, a growth mindset, and excellent collaboration skills to join our cutting-edge research team to work on data-driven technology for power systems operation, forecasting of renewable energy and load, and system identification. The candidate should demonstrate theoretical and practical knowledge in applied mathematics and strong power systems domain knowledge and have experience developing software tools.
  • The candidate will be part of the Sensing and Predictive Analytics group under the Power Systems Engineering Center (PSEC) at NREL. PSEC supports the science and technology goals of the U.S. Department of Energy and NREL toward a sustainable energy future. The center works with the electricity industry to optimize strategies for effectively interconnecting renewable resources and emerging energy efficiency technologies in the existing electric power system. The center focuses on resolving grid integration barriers and providing improved control and management strategies for increased grid flexibility, consumer empowerment, and transportation electrification.
  • This postdoctoral researcher may contribute to multiple projects with objectives in developing data driven and machine learning technologies. The successful hire will contribute to building open source data sets and advanced Distributed Energy Resource (DER) management algorithms. The successful candidate will apply familiarity with distribution system operation, data analytics and machine learning technology for high penetration solar PV technology applications. The successful candidate will be familiar with Distribution system simulations and will ideally be familiar with co-simulation approaches.

Details

Work type

Full time

Work mode

hybrid

Location

Golden

Salary

73200 - 120800 USD