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Golden, Colorado, United States
Onsite
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Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
Seeking full - or part-time graduate candidates to work with researchers in NLR Center for Integrated Mobility Sciences on database development, data processing, and dashboard development to support analysis of mobility trends and energy implications of emerging transportation technologies. Specific tasks may include:
Assist NLR researchers on projects providing insights into transportation energy systems, with a focus on how emerging transportation systems impact travel behavior, quality of life, and energy use.
Analyze large-scale real-world travel activity, vehicle driving, and geospatial datasets using scalable, high-performance computing approaches.
Contribute to the development and enhancement of population evolution and demographic microsimulation frameworks, including model design, calibration, validation, and scenario analysis; clearly communicate modeling approaches and findings to technical and non-technical stakeholders.
Evaluate transportation accessibility outcomes alongside economic and outcomes, and help quantify tradeoffs and co-benefits associated with emerging mobility systems, infrastructure investments, and policy interventions.
Generate insights from transit datasets, including General Transit Feed Specification (GTFS), ridership, usage, and fare data to evaluate transit performance and accessibility.
Deliver quality products that synthesize external literature, data analyses, and modeling results.
Document methods and assumptions and assist with preparing peer-reviewed publications along with high-quality technical reports and presentations.
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* Must meet educational requirements prior to employment start date.
Experience working with quantitative data and performing statistical or analytical tasks
Proficiency in at least one programming or analytical tool such as Python, R, MATLAB, or SQL
Ability to create clear and accurate data visualizations using tools such as Python (Matplotlib/Seaborn), R (ggplot2), or similar
Experience handling large or complex datasets
Strong problem-solving skills and attention to detail
Good written and verbal communication skills
Experience with demographic or population modeling or longitudinal data
Experiences with transportation modeling, travel demand modeling, or land use and transportation interaction
Familiarity with GIS tools
Experience applying ML or data-driven methods to forecasting, behavioral modeling, or pattern recognition
Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
Cumulative undergraduate/graduate GPA over 3.5 on a 4.0 scale.
Please include all relevant experience and qualification information on the uploaded PDF (or MS Word) copy of your resume or CV.
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The anticipated closing window for application submission is up to 30 days and may be extended as needed.
NLR 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.
* Based on eligibility rules
NLR 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 NLR, 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 note that in order to be considered an applicant for any position at NLR 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.
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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.
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