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Research Staff Member - Transportation Planning & Decision Science / NB50641262
Oak Ridge National Laboratory
Oak Ridge National Laboratory
 

Job Location: Oak Ridge, TN

Purpose:
At Oak Ridge National Laboratory, we provide extraordinary researchers with distinctive equipment and unique facilities to tackle some of the nations most compelling challenges. As the largest US Department of Energy (DOE) open science laboratory, our mission is to deliver scientific discoveries and technical breakthroughs that will accelerate the development and deployment of solutions in clean energy and global security while creating economic opportunities for the nation.The Transportation Planning & Decision Science (TPDS) Group within the Energy and Transportation Science Division (ETSD) at the Oak Ridge National Laboratory is seeking applicants for the position of Transportation Planning & Decision Science Research Staff. The TPDS Group assists the U.S. Department of Energy (DOE), Department of Transportation (DOT), and other federal agencies in developing solutions to national transportation problems. TPDS researchers conduct spatial
  • and statistical-analyses, build computer simulation and optimization models, as well as carry out engineering and economic analyses of issues pertaining to the transportation sector. This position will primarily support a multi-disciplinary effort that heavily focuses on freight and passenger transportation systems, planning, modeling, and big data analysis. The purpose of the position is to perform research and development (R&D) in forecasting and analyzing nationwide freight and passenger flows that directly relates to the one of DOEs goals, support of cities by offering tools and capabilities in future mobility system modeling and simulation, data management and analytics, and access to National Laboratory technologies.


    Major Duties/Responsibilities:
    You will function as a team member with a group of scientists and engineers and collaborate in performing applied R&D in statistical data analysis and development of models for informed transportation policy and planning decision-making. Specifically, researches involving smart mobility and/or utilizing various transportation datasets such as Commodity Flow Survey (CFS), Freight Analysis Framework (FAF), County Business Pattern (CBP), National Household Travel Survey (NHTS), and others to estimate freight and passenger movements in the national and region scales. Working as a team member with experienced researchers, you will be expected to contribute to formulating research problems and designing research strategies, conducting experimentation and supportive analyses using state-of-the art methods. A strong background of mathematics and statistics, thus, is also required. You should have the ability to work creatively and cooperatively as a member of an interdisciplinary research team.Specific job responsibilities and roles include:
  • Work independently to perform applied research and development in modeling and analyzing national and regional freight and passenger movements, and in providing necessary deliverables such as documents, data files and tools on time.
  • Collaborate with senior research staffs to provide assistance with performing energy and transportation related projects conducted for DOE, DOT, and other federal agencies.
  • Represent ORNL and make technical presentations to sponsors, technical merit reviewers, and at national/international technical conferences and symposia.
  • Publish original research in peer-reviewed journals and other professional technical publications.
  • Adhere to ORNLs culture of safety in all aspects of work performance and general conduct.
  • Some travel may be required.


    Qualifications Required:
    Basic Qualifications
  • Ph.D. in transportation engineering, transportation economics, or related discipline, with a recognized record of research accomplishments.
  • At least 5 years of experience in transportation engineering, planning, modeling, and developing simulations and application tools; with prior publications in the field of transportation engineering or planning.
  • Strong understanding and working experience of freight network and commodity flows.
  • In-depth knowledge and proven working experience with public data sources for transportation planning and relevant fields, including CFS, FAF, CBP, and NHTS.
  • Background experience and current field of study should have an emphasis on freight planning and transportation systems including modeling, simulation, and development of algorithms for trip generation and distribution models.
  • Proven working experience in handling large-scale data, especially multi-dimensional matrix and geospatial data; modeling experience with Iterative Proportional Fitting (IPF), especially on the factor estimation method.
  • Proficiency in the use of modeling and simulation tools, such as MATLAB, R, and Python.
  • Excellent oral and written communication skills to support regular interactions with ORNL staff, management, sponsors and others, and to prepare reports, publications, and journal articles.
  • Strong interpersonal skills to support team building and leadership. This includes ability to both advise and learn in multi-disciplinary environment with staff from diverse technical backgrounds.
  • Demonstrated initiative and ability to learn and provide creative approaches in performing technical projects and solving technical challenges. Preferred Qualifications
  • Advanced degree in mathematics or statistics is highly preferred for consideration due to the importance of the job duty on such model developments on both theoretical and practical aspects.
  • Knowledge and working experience of programming skills (e.g., C++, Java, and VBA), as well as advanced skills in use of statistical software (e.g., SAS, SPSS, and JMP) and GIS tools (e.g., ArcGIS or TransCAD), for transportation related projects.
  • Demonstrated ability to execute data mining and web scraping, and handling big data.
  • Prior publications related to freight generation or distribution models.






    Oak Ridge National Laboratory

    ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-verify Employer.
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