Pacific Northwest National Laboratory Energy Systems Research Engineer in RICHLAND, Washington
Organization and Job ID
Job ID: 312629
Directorate: Energy and Environment Directorate
Pacific Northwest National Laboratory’s works to improve the security, stability, and resiliency of our nation’s energy infrastructure; increase transparency and flexibility; reduce inefficiencies; and improve the nation’s general quality of life. We tackle systems as small as heat pumps that can fit into the palm of your hand to as large as control and architectural paradigms spanning supply and demand of the U.S. electrical grid.
To do this, the Distributed Systems group at PNNL analyzes, models, and develops integrated systems to monitor, diagnose, and understand the operating state of the most complex engineered processes in the world. These processes range from electrical power generation to transmission and distribution, and to the end use consumption of energy in industrial and residential facilities with particular emphasis on integration of distributed energy resources and flexible loads in electric power distribution systems.
This position focuses on performing research related to analysis and modeling of energy-economic systems associated with integration of renewable energy technologies and electrification of energy use in domain such as transportation. We are seeking an experienced researcher with strong communications skills who proactively solves problems.
Research and analysis to support laboratory reports on topics such as energy economics, technology innovation, modeling approaches and regulatory functions.
Lead direct outreach to external stakeholders.
Provide subject matter expertise and technical leadership on power system operations, planning, and business structures.
Lead interdisciplinary teams to tackle high impact problems.
Work with business development leads to expand the research portfolio and respond to funding opportunities.
The hiring level will be determined based on the education, experience and skill set of the successful candidate based on the following:
Level IV: Recognized technical domain expertise with leadership roles in the technical community. Determines technical approaches to complex challenges leading projects as a PI or co-PI Expertise in interdisciplinary, multi-domain research and development. Leads identification of and development of new capabilities related to energy system analysis, modeling, and integration. Actively publishes in the technical literature. Leads proposals and develops business through excellent project performance.
Level V: Nationally recognized technical domain expertise with leadership roles in the technical community. Conceives of and plans R&D for complex challenges leading projects as a PI or co-PI Expertise in interdisciplinary, multi-domain research and development. Leads and develops strategies for development of new capabilities related to energy system analysis, modeling, and integration. Actively publishes in the technical literature and sought out as speaker, peer reviewer in national conferences and forums. Leads proposals and develops business through excellent project performance developing a sustained funding base to support self and project teams.
- Bachelor's degree with 7+ years’ experience or a Master's degree with 5+ years’ experience or a PhD with 3+ years of experience.
Bachelor's degree with 9+ years’ experience or a Master's degree with 7+ years’ experience or a PhD with at 5+ years of experience.
Must be a skilled professional who applies, and leads others in applying, a broad basis of existing theories, principles, and concepts to a specialty field with significant interdisciplinary experience.
Demonstrated knowledge and leadership experience in system dynamics analysis of complex energy-economy systems
The ability to lead and mentor others in abstracting and simplifying complex system behavior into components that can be modeled for system analysis studies.
The ability to lead and mentor the modeling and simulation of engineered, natural, and human systems of various temporal and spatial scales (varying from seconds to decades and meters to global regions)
Skills and experience in processing large data sets applying commonly used statistical tools (e.g., R, SAS), as well as basic understanding of principles of Machine Learning and Artificial Intelligence
Skills and experience in mathematical optimization techniques, simulations of thermal and power systems, as well as econometrics and quantitative economics
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via https://jobs.pnnl.gov/help.stm
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
Directorate: Energy & Environment
Job Category: Engineering/Engineering Techs
Group: Distributed Systems
Opening Date: 2021-08-31
Closing Date: 2021-09-30