Postdoctoral Appointee:  Transportation System Modeler

Argonne National Laboratory

Lemont, IL

Job posting number: #7062453 (Ref:407365)

Posted: November 21, 2019

Application Deadline: Open Until Filled

Job Description

 

Argonne is seeking a transportation systems modeler to work on our high-performance, agent-based travel demand and transportation system simulation framework, Polaris, and improve its models of firm behavior, driver behavior and freight-related decision-making. Polaris has two components – passenger and freight – which are integrated in the same software. The software is used for performing detailed simulations of large scale transportation systems. The goal of such simulations is to analyze establishment and driver responses to potential future scenarios or trends in the economy, mobility, connectivity and autonomy (CACC/CAV), delivery modes, vehicle technologies, and so on in order to understand their potential impacts on transportation mobility and energy sustainability. Decision makers in the public sector and at private companies rely on such simulation models to inform decisions on investments and management strategies. The core algorithms of the freight model include agent-based models of discrete choices regarding trade partnerships, transport and logistics path choices, inventory-theoretic shipment size and frequency selection, and other decisions. The candidate will analyze various data sources to improve the models and support other analyses. The candidate will also enhance the simulation models and use them to analyze freight travel patterns and associated activities.

This position provides an exciting opportunity to work at a top-tier National Lab, interact with world-class faculty and Lab scientists, work on transformative solutions to transportation problems and live in the Chicago area, a global metropolis with stunning architecture, leading cultural and educational institutions, a vibrant economy and a major transportation hub.

 

Responsibilities:

  • Develop models and software implementations of multi-modal freight transportation systems
  • Analyze data to support model development
  • Develop new methodologies for simulating traffic flow and regional transportation system operations and control
  • Frequently interact with software developers on implementing new algorithms and improving performance of existing algorithms
  • Participate in research teams to perform transportation system energy analysis using Polaris and vehicle energy simulation framework Autonomie, with in the context of changing trends
  • Work under minimal supervision

  • PhD Degree in transportation, operations research, mechanical or environmental engineering, economics, or a related field
  • Fluent in English
  • Knowledge of transportation system modeling
  • Knowledge of the activity-based or agent-based travel demand modeling
  • Knowledge of discrete choice or other decision process models
  • Experience in data collection, processing and analysis
  • Experience in the development of transportation models, using commercial or open source software
  • Experience with C++ for the Windows and/or Linux platform
  • Experience with statistical modeling software such as R, SAS, Stata, or SPSS
  • Good Verbal and written communication skills
  • A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. 

As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

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



Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.


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