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Pre-Doctoral Appointee
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Argonne's Vehicle and Mobility Systems department (VMS, vms.taps.anl.gov) is seeking an Predoctoral Engineering Research Associate to conduct research on transportation systems decarbonization. The role also involves participating in the development of a software framework for evaluating large-scale data modeling and techno-economic analytics for transportation and vehicle systems. The successful candidate should have experience in transport system modeling and analysis. The candidate will:
- Develop and perform transportation system modeling, energy, and techno-economic analysis using Argonne SMART Mobility Workflow (i.e., Polaris, Autonomie), and TechScape. This includes applications for electric, shared, connected, and automated vehicles, as well as freight transport.
- Contribute to the development of TechScape, through the integration of workflows to evaluate various techno-economic analytical scenarios.
- Analyze the technical and financial impacts of vehicles and mobility systems and policies within national and international projects.
- Assist the team in engagement with stakeholders to foster collaboration and consensus-building on tactical project identification and the deployment of sustainable transportation initiatives.
- Assist in organizing training sessions and developing educational materials on vehicle technologies and analytical methods to assist stakeholders in decision-making.
- Candidates must hold a master's in mechanical engineering, automotive engineering, or a related field.
- Knowledge of engineering computation as applied to vehicle system modeling (e.g., Autonomie).
- Knowledge of automotive systems engineering, namely hybrid and electric powertrains, thermal systems design and management, batteries, motors, and EVSE technologies.
- Strong skills and experience in software programming, with proficiency in C/C++, Python and Matlab.
- Knowledge of techno-economic and environmental analysis is essential.
- Ability to analyze the technical and financial impacts of mobility systems and policies.
- Experience with different data visualization tools (e.g., Tableau).
- Proven ability to engage with stakeholders to facilitate collaboration and consensus-building for deploying high-quality sustainable transportation initiatives.
- Skilled oral and written communication skills across all levels of the organization.
- Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.
- Ability to make our laboratory a safe, welcoming, inclusive, and accessible environment where all can thrive.
Preferred Qualifications:
- Applicants must have a strong background in transportation systems and vehicle technologies.
- A background in public policy.
- Experience in data science, data analytics, and data visualization, as well as experience in conducting environmental assessments and cost-benefit analysis.
Job Family
Temporary Family
Job Profile
Predoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
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