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Associate Computation Transportation Engineer

Argonne National LaboratoryLemont, IL

$94,486 - $147,399 / year

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Overview

Schedule
Full-time
Education
Engineering (PE)
Career level
Senior-level
Compensation
$94,486-$147,399/year
Benefits
Health Insurance
Paid Vacation
Career Development

Job Description

The Transportation Systems and Mobility Group in the Vehicle and Mobility Systems Department at Argonne National Laboratory is seeking a transportation systems modeler to work on our high-performance transportation system simulation framework, POLARIS. The primary focus would include POLARIS model development and running scenario studies. This could include and is not limited to modeling shared mobility services and researching various policies that can benefit the overall system. The software is used for performing detailed simulations of large-scale regional transportation systems. The goal of such simulations is to analyze the potential impacts of future mobility technologies such as shared autonomous vehicles operating in fleets, vehicle technology impacts, new freight delivery technologies and others. We seek to understand pathways toward radically improving the mobility landscape. Decision makers at the federal, state and regional levels rely on such simulation models to make decisions on investments and management strategies. The core algorithms of the model include shared fleet simulations, routing, traffic flow, freight demand estimation and simulating discrete choices travelers make regarding travel patterns and associated activities. The various algorithms are coded into the Polaris framework and used to simulate various scenarios.

Position Requirements

  • Ph.D. in Civil Engineering, Transportation Engineering, or a related field
  • Knowledge of engineering computation as applied to transportation system modeling.
  • Knowledge in agent-based modeling and simulations; familiarity with POLARIS is preferable.
  • Knowledge in shared and autonomous vehicle fleet operations and modeling.
  • Skills and experience in software programming (C++ or Python), and preferably both.
  • Skills in using GIS-based querying and software use like QGIS, ArcGIS, or another similar tool.
  • Skills in creating and applying SQL queries to a database.
  • Skills in decision making.
  • Skills to roadmap from specific problems to general solutions.
  • Skilled in the use of high-performance computing technology.
  • Ability to plan, schedule, and coordinate detailed phases for projects of moderate scope.
  • Skilled oral and written communication skills at all levels of the organization.
  • A successful candidate must have the ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

This position description documents the general nature and level of work but is not intended to be a comprehensive list of all activities, duties and responsibilities required of job incumbent. Consequently, job incumbent may be required to perform other duties as assigned.

Job Family

Research Development (RD)

Job Profile

Computational Science 2

Worker Type

Regular

Time Type

Full time

The expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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FAQs About Associate Computation Transportation Engineer Jobs at Argonne National Laboratory

What is the work location for this position at Argonne National Laboratory?
This job at Argonne National Laboratory is located in Lemont, IL, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Argonne National Laboratory?
Candidates can expect a pay range of $94,486 and $147,398.94 per year.
What employment applies to this position at Argonne National Laboratory?
Argonne National Laboratory lists this role as a Full-time position.
What experience level is required for this role at Argonne National Laboratory?
Argonne National Laboratory is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Argonne National Laboratory?
You can apply for this role at Argonne National Laboratory either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.