Pre-Doctoral Appointee - Engineering Research Associate
Lemont, IL USA
Argonne National Laboratory
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.
Position Requirements
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.
This position description documents the general nature and level of work but is not intended to be a comprehensive list of all activities, duties, and responsibilities required of the job incumbent. Consequently, the job incumbent may be required to perform other duties as assigned.
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 FamilyJob Profile
Predoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeAs an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics Data visualization Engineering Matlab Python Research Tableau
Perks/benefits: Team events
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