Experience:
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Employment Type:
Full time
Posted:
12/5/2018
Job Category:
Education-Teaching
Industry:
Government
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Postdoctoral Researcher - HPC Scalable Transportation Simulation and Planning
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Job Description

The Complex Systems Simulation and Optimization Group in the NREL Computational Science Center has an opening for a full-time postdoctoral researcher in scalable transportation simulation and planning via traffic modeling, traffic simulation, and infrastructure planning to maximize transportation energy efficiency and productivity. Emphasis is placed on collaborating with a small team to develop traffic simulation and optimization methods at scale using high performance computing (HPC) systems.

We are looking for a dynamic, motivated researcher with a strong technical background and an interest in the mission of NREL. The successful candidate will collaborate with NREL staff and researchers, and other national labs to develop, adapt, improve and scale cutting edge traffic simulation models and solution algorithms to address large-scale transportation problems.

Responsibilities include:

  • Collaborate with NREL researchers to design and implement scalable traffic modeling and simulations to accurately represent traffic flow and congestion at large-scale on HPC systems.
  • Develop and apply scalable traffic optimization methods for urban-scale traffic operation and real-time traffic management.
  • Contribute to the design and development of parallel software frameworks for the integrated planning of transportation system with other infrastructure systems such as electric grid and water system.
  • Evaluate and track state of traffic simulations and traffic optimization algorithms, their implementations and their use on advanced and emerging computing architectures.
  • Author, present and assist in the preparation of technical papers, reports and conference proceedings on topics related to mobility simulation and planning and their application in HPC.

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Required Education, Experience, and Skills

Must be a recent PhD graduate within the last three years.

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Preferred Qualifications

  • Expertise in traffic modeling and simulation, including macroscopic, mesoscopic, agent-based, multi-modal modeling.
  • Expertise in transportation planning, especially traffic assignment including static and dynamic traffic assignment problems.
  • A strong background with optimization and uncertainty quantification with applications to transportation planning and modeling.
  • A strong background in scalable algorithm development and implementation for scientific, engineering and analysis applications. Strong analytical skills and programming experience especially in high-level languages such as Python and/or Java.
  • Experience in developing parallel programs using shared memory and distributed memory mechanisms such as MPI and OpenMPI.

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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.

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EEO Policy

NREL is dedicated to the principles of equal employment opportunity. NREL promotes a work environment that does not discriminate against workers or job applicants and prohibits unlawful discrimination on the basis of race, color, religion, sex, national origin, disability, age, marital status, ancestry, actual or perceived sexual orientation, or veteran status, including special disabled veterans.

NREL validates right to work using E-Verify. NREL will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. For additional information, click here.

About National Renewable Energy Laboratory

At NREL, we focus on creative answers to today's energy challenges. From breakthroughs in fundamental science to new clean technologies to integrated energy systems that power our lives, NREL researchers are transforming the way the nation and the world use energy.