Transportation Systems Intern (Year-Round)

• Posting Title
• Transportation Systems Intern (Year-Round) .
• Location
• CO•Golden .

• Position Type
• Intern (Fixed Term) .
• Hours Per Week
• 20 .
• Working at NLR
• NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

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.

• Job Description
• The Advanced Computing Solutions Group in the NLR Computational Science Center has an opening for a graduate student researcher in in Transportation Systems with special emphasis on transportation system modeling and control.

The researcher will assist in supporting large-scale modeling efforts for charging station impact analysis and developing AI-based traffic operation algorithms. We are looking for a dynamic, motivated researcher with a strong technical background. The successful candidate will collaborate with NLR staff and researchers to design and implement data-informed traffic singal control and transportation system planning models to enable efficient and robust transportation system operations and planning.

Responsibilities include:

+ Assist in developing Reinforcement-Learning-based traffic control algorithms. + Collaborate with NLR researchers to build high-fidelity traffic simulations. + Support development of synthetic population, demand modeling, and total cost of ownership workflows. + Process and analyze large-scale transportation datasets. + Process and visualize results from simulations scenarios to inform real-time traffic operations and planning decisions. + Author, present and assist in the preparation of technical papers, reports and conference proceedings on topics related to data-driven traffic modeling and simulation and their application. As a year-round intern, this role can adjust the working hours between 20-40 hours depending on your coursework and workload. .

• Basic Qualifications
• Minimum of a 3.

0 cumulative grade point average.

Graduate:

Must be enrolled as a full-time student in a master's degree program from an accredited institution.

Post Graduate:

Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate +

PhD:

Completed master's degree and enrolled as PhD student from an accredited institution.

Please Note:

• Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
• If selected for position, a letter of recommendation will be required as part of the hiring process.
• Must meet educational requirements prior to employment start date.
• Must meet educational requirements prior to employment start date.
• Additional Required Qualifications
• + Strong programming skills in Python + Experience with data analysis and scientific computing + Experience working with large datasets + Strong analytical and problem-solving skills + Excellent written and verbal communication skills + Ability to work independently and collaboratively
• Preferred Qualifications
• + Would prefer an intern candidate who is specifically in a PhD program. + Experience with transportation modeling or transportation systems analysis + Experience with HPC environments (Slurm, clusters, parallel computing) + Experience with machine learning and reinforcement learning + Experience working with synthetic population and travel demand modeling + Experience with SUMO .
• 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:

/

Annual Salary Range:

$44,500

• $71,200 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.

• Benefits Summary
• Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match
• ; and sick leave (where required by law). NLR 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. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.
• Based on eligibility rules
• Badging Requirement
• NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.
• Drug Free Workplace
• 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.

• Submission Guidelines
• 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. .
• Equal Opportunity 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.

• Reasonable Accommodations (http://www.nrel.gov/careers/employment-policies.html)
• E•Verify•www.

dhs.gov/E-Verify

• For information about right to work, click here (http://www.justice.gov/sites/default/files/crt/legacy/2013/08/13/FinalOSCPosterEN08\_01\_2013.pdf) for English or
• here (http://www.justice.gov/crt/file/813271/download) for Spanish.
• E-Verify is a registered trademark of the U.

S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce. The National Laboratory of the Rockies (NLR) is a leader in the U.S. Department of Energy's effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NLR is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States. NLR is subject to Department of Energy (DOE) access restrictions. All candidates must be authorized to access the facility per DOE rules and guidance within a reasonable time frame for the specified position in order to be considered for an interview and for hiring. DOE rules for site access during the interview process depend on whether the candidate is interviewed on-site, off-site, or via telephone or videoconference. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Additionally, DOE contractor employees are prohibited from participating in certain Foreign Government Talent Recruitment Programs (FGTRPs). If a candidate is currently participating in an FGTRP, they will be required to disclose their participation after receiving an offer of employment and may be required to disengage from participation in the FGTRP prior to commencing employment. Any offer of employment is conditional on the ability to obtain work authorization and to be granted access to NLR by the Department of Energy (DOE).

• Drug Free Workplace
• NLR is committed to maintaining a drug-free workplace in accordance with 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 review the information on our Hiring Process (https://www.nlr.gov/careers/hiring-process.html) website before you create an account and apply for a job. We also hope you will learn more about NLR (https://www.nlr.gov/about/) , visit our Careers site (https://www.nlr.gov/careers/) , and continue to search for job opportunities (https://nrel.wd5.myworkdayjobs.com/NLR) at the lab.