Optimal
  • Palo Alto, CA, USA
  • Contract

Job Description: 

The candidate will play a pivotal role in developing new mobility products and services. They will be an integral part of the Research department, a varied and interdisciplinary group within Research and Advanced Engineering that is dedicated to cutting-edge research to improve transportation accessibility, mobility, and sustainability for all. The candidate will support research projects helping to develop and simulate new and innovative mobility solutions, including microtransit, dynamic shuttles, smart cities, and connected and automated vehicles. The position requires a combination of technical and soft skills, as well as experience with project management. Major responsibilities of this position include: Project management to deliver microtransit pilot projects, writing journal articles, invention disclosures, patents, including National Labs, Universities, and Cities to evaluate and benchmark transportation modelling and simulation software both traditional software (e.g. CUBE and VISSIM) and those more focused on new mobility.

Skills Required: 

Excellent knowledge of travel behavior and human factors topics such as factors influencing travel patterns, mode choice and location choice Experience interacting with key transportation planning stakeholders such as city planning and engineering departments, transit agencies, metropolitan planning organizations, and transportation consulting firms General knowledge of mobility trends and emerging mobility technologies and services

Skills Preferred: 

Project management experience, including responsibility for managing a budget Experience with data analytics software and scripting such as python, R, Stata, Tableau, etc. Experience manipulating urban data sets, including location-based and Census data, for transportation modelling/analysis Experience in transportation planning or modeling (coursework counts). Examples include but are not limited to: 1) Discrete choice or travel behavioral modeling using R, Biogeme, or other software; 2) Shared mobility modelling/simulation techniques using open source platforms such as MATSIM or other agent-based tools; 3) Traditional travel demand modeling (e.g. with TransCAD or CUBE) and/or activity-based modelling.) Ability to learn new software quickly and assist with evaluating and benchmarking tools. (Examples of relevant software include: ArcGIS, PTV Vissim/Visum, Aimsun, TransModeler, CUBE, TransCAD, MATSIM, SUMO, and Ford-developed simulations, optimization models, and data architectures.) Experience using APIs and/or contributing to open-source software via Github, especially transportation modeling software such as MATSIM, SUMO, etc. Ability to thrive in a fast-paced, dynamic work environment

Experience Required:

2+ years' experience in the transportation planning or engineering field, e.g. with a government agency, consulting firm or University research lab

Education Required:

M.S. in Transportation Engineering, Urban Transportation Planning, or equivalent

Education Preferred:

PhD. In Civil Engineering, Urban Planning, or equivalent

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