[ES_JOBS_NET] Engineer/Analyst/Scientist – Energy Systems Air Quality Impacts and Benefits, NREL, Golden, CO

[Christine Wiedinmyer]

https://nrel.wd5.myworkdayjobs.com/NREL/job/Golden-CO/Engineer-Analyst-Scientist---Energy-Systems-Air-Quality-Impacts-and-Benefits_R11883

Posting Title
Engineer/Analyst/Scientist – Energy Systems Air Quality Impacts and Benefits

.

Location
CO - Golden

.

Position Type
Regular

.

Hours Per Week
40

.

Working at NREL
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.

Our planet needs us! Learn about NREL’s critical objectives, and see how NREL is focused on saving the planet.<https://www.youtube.com/watch?v=QNXrOppc920>

Note: Research suggests that potential job seekers may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who is interested in this opportunity to apply. We seek dedicated people who believe they have the skills and ambition to succeed at NREL to apply for this role.

Job Description

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 researcher with strong programming experience who can, under supervision and mentorship, independently lead the modeling and analysis of more than one project within a growing portfolio of air quality, public health and environmental justice-related projects.

The researcher will join the Impacts Analysis Group within SEAC, alongside researchers who perform a variety of environmental sustainability assessments of energy technologies. With objective, technology-neutral analysis, SEAC aims to increase understanding of energy policies, markets, resources, technologies, and infrastructure to address U.S. economic, security, and environmental priorities. SEAC researchers employ a wide range of advanced modeling methods and tools to assess the impacts of energy technologies, including air quality, public health and environmental justice models and tools as well as code-based life cycle assessment (LCA) models. Description of capabilities and recent projects can be found here: https://www.nrel.gov/analysis/air-quality.html.

SEAC, in partnership with other Centers at NREL, is being asked to quantify the air quality impacts and benefits of energy technologies in a range of domestic and international contexts. We seek applicants interested in a diverse set of source sectors and project applications, interested in developing new air quality/impact methods as well as developing innovative computation solutions. Air quality model development is not the mission of this group; we mainly enhance and apply existing air quality models.

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/CMAQ-ISAM). 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> as well as follow-on LA100-Equity Strategies study on truck electrification<https://maps.nrel.gov/la100/equity-strategies/reports/truck-electrification#section-0>). 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).

NREL has advanced scientific computing capabilities<https://www.nrel.gov/computational-science/index.html> within its Energy Systems Integration Facility<https://www.nrel.gov/esif/index.html>. Applicants are sought that can bring our emerging air quality modeling capability to the next level with machine learning and advanced computing to answer challenging questions at greater spatial, temporal and global scales.

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, cshell), 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 ideally before end of Winter (start date will be one important factor in prioritizing candidates).

.

Basic Qualifications
Relevant PhD . Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience . Demonstrates broad understanding and wide application of engineering technical procedures, principles, theories and concepts in the field. General knowledge of other related disciplines. Demonstrates leadership in one or more areas of team, task or project lead responsibilities. Demonstrated experience in management of projects. Very good writing, interpersonal and communication skills.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

  *   Programming skills related to working with quantitative data analysis, such as experience in energy modeling and programming, knowledge of machine learning and advanced computing, fluency in Python or similarly functional language, and ability to quickly pick up other languages
  *   Advanced experience running a range of air quality models, tools, and databases, including developing code-based workflows. While we use reduced-complexity air quality models, we would prefer candidates who also have experience with more advanced models that include ozone chemistry, secondary PM formation, oxides of nitrogen, etc. such as WRF-Chem, CMAQ/CMAQ-ISAM.
  *   Emission processing tools and software such as SMOKE, MOVES as well as bespoke code-based approaches to inventory development
  *   Knowledge of air pollution control engineering
  *   Excellent oral and written communication and recordkeeping skills, including the ability to give clear oral presentations on progress and results and demonstrated ability to be first author of journal articles without extensive editorial assistance
  *   The ability to work independently within a team environment.
  *   Self-motivated learner with demonstrated ability to grasp new concepts quickly and to develop new skills and models as needed.

Preferred Qualifications

  *   A strong publication record in a technical discipline, as compared to peers at a similar level of education and career experience
  *   Interdisciplinary curiosity and resourcefulness, including desire to broaden skills.
  *   Creative problem solving and robust analytical skills, particularly as they relate to facilitating the energy transition through co-beneficial strategies
  *   Interpersonal and communication skills for interacting with both technical and non-technical audiences.
  *   Knowledge of statistical methods and GIS tools (ArcGIS/QGIS, or geospatial data analysis libraries in python or R)
  *   Experience with version control software (GitHub)
  *   Demonstrated knowledge of at least one energy sector (e.g., power, transportation)

.

Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)
Job Profile: Researcher III / Annual Salary Range: $79,600 - $143,300

NREL takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions.

Benefits Summary
Benefits include medical, dental, and vision insurance; short*- and long-term disability insurance; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; paid holidays; and tuition reimbursement*. NREL employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Limited-term positions are not eligible for long-term disability or tuition reimbursement.

* Based on eligibility rules

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.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

.

EEO Policy

NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20240126/533f607a/attachment-0001.htm>