[ES_JOBS_NET] NREL Post-Doctoral Researcher in Air Quality Modeling (Golden, CO / Remote)

[Li, Yun]

The National Renewable Energy Laboratory’s (NREL’s) Strategic Energy Analysis Center (SEAC; www.nrel.gov/analysis<http://www.nrel.gov/analysis>) is seeking a Post-doctoral researcher with strong programming experience who can, under supervision and mentorship, independently lead more than one project within a growing portfolio of air quality, public health and environmental justice-related projects.

Several bodies of work exist at NREL with emissions inventory, air quality modeling, health impact analysis and environmental justice foci. One body of work focuses on assessing the impact of power system transformation on air quality, collaborating with NREL’s core capability in power sector modeling from decadal to sub-minute timescales (see, e.g., https://www.nrel.gov/analysis/electric-sector-integration.html). For this work, we work both domestically and internationally. We employ reduced complexity air quality models (like InMAP, as well as its global version, Global InMAP), source-specific models (like R-Line or SCICHEM) and are waiting for the right opportunity to use traditional, state-of-the-science air quality models (like WRF-Chem or CMAQ). Our projects examine a range of spatial scales from multi-country regions (like SE Asia), national and metropolitan. A flagship example of this modeling is the air quality, health and environmental justice portions of LA100 (see Chapters 9 and 10 here<https://maps.nrel.gov/la100/la100-study/report>). Another emerging body of work focuses on use of hydrogen in combustion systems (e.g., to replace natural gas in combustion turbines for peaking loads). Our international portfolio is also growing (see a fact sheet<https://www.nrel.gov/docs/fy23osti/85554.pdf>). A good example of a completed project<https://www.nrel.gov/docs/fy23osti/83832.pdf> examined the air quality and health implications of greater use of renewable energy in the power sector of Southeast Asia. Finally, we have been characterizing emissions from the supply chain of biofuels for many years (https://www.nrel.gov/analysis/biofuels-emissions.html).

The ideal candidate will have competency in using a wide range of computer tools, programming languages (e.g., Python, R, Fortran) and shell scripting (bash, C shell), as well as demonstrated experience in atmospheric and air quality modeling. Experience with machine learning and advanced computing (e.g., high-performance computing environment) to answer challenging questions at greater spatial, temporal, and global scales is highly desirable. Also desirable is an interest in adjacent disciplines and fields such as life cycle assessment, greenhouse gas inventories, air pollution measurement, citizen science, atmospheric sciences, etc. Knowledge of at least one energy sector (e.g., power, transportation) will be considered a plus. The candidate should have strong written communication skills, interest in leading drafting of publications; be highly motivated and self-directed; eager to join a fast-paced collaborative work environment; have an ability to “manage up”; and be available to start by fall 2023.

Applications must be submitted through the website and accompanied by a cover letter: https://nrel.wd5.myworkdayjobs.com/en-US/NREL/details/Post-Doctoral-Researcher--Air-Quality_R11130.

Best regards,
--
Yun Li
Pronouns: she/her/hers
Researcher - Environmental Engineering| Strategic Energy Analysis Center (SEAC)
National Renewable Energy Laboratory (NREL)
15013 Denver West Parkway | Golden, CO 80401
yun.li at nrel.gov<mailto:yun.li at nrel.gov> | www.nrel.gov<http://www.nrel.gov/>






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