NREL Postdoctoral Researcher - Emerging Mobility in Golden, Colorado
Postdoctoral Researcher - Emerging Mobility
CO - Golden
Postdoc (Fixed Term)
Hours Per Week
Work with staff in NREL’s transportation center to research the impacts of connected and automated vehicles and new travel options such as “Mobility as a Service” on mobility quality and transportation system energy use. Additionally collaborate with NREL’s computational sciences center on leveraging high-performance computing resources and big-data techniques to address challenging transportation problems. Specific activities may include:
Identify and quantify the impacts of transportation innovations enabled by large-scale data availability.
Perform large-scale transportation system modeling and apply high-performance computing resources to evaluate strategies for relieving congestion and improving energy efficiency—such as through performing network-wide traffic signal timing optimization.
Apply machine learning techniques to inform improvements in automated vehicle perception and control.
Help secure, analyze and incorporate relevant datasets of various sizes into research activities.
Perform big data mining, analysis, visualization and interpretation.
Assist in producing high-quality publications, reports and research proposals.
Desired Education, Experience and Skills
Strong collaboration skills: thrive working in a collaborative team environment but comfortable working independently when necessary.
Strong interest in both high-performance computing and transportation modeling, with a degree/background in one or the other.
Relevant transportation skills may include travel demand modeling, micro-, meso- and/or macroscopic traffic modeling, transportation energy analysis, and/or automated vehicle modeling.
Relevant computing skills may include machine learning, deep learning, distributed computing, and big data management/analytics.
Please include all requested experience and qualification information on the uploaded PDF (or MS Word) copy of your resume.
Required Education, Experience, and Skills
Must be a recent PhD graduate within the last three years.
The ideal candidate would possess at least some of the following preferred qualifications:
Demonstrated background in both high-performance computing and transportation modeling.
Experience with automated vehicles, such as perception and control systems.
Experience interfacing with Metropolitan Planning Organizations (MPOs) and other transportation data and modeling stakeholders.
Excellent written and verbal communication skills.
Knowledge of GIS, GPS data analysis and visualization, web design, and/or engineering computing.
Cumulative undergraduate/graduate GPA over 3.5 on a 4.0 scale (please provide on resume).
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