Systems Analysis Engineer
Argonne National Laboratory
Lemont, IL
Job posting number: #7107208 (Ref:413882)
Posted: August 4, 2022
Application Deadline: Open Until Filled
Job Description
In this role, a successful candidate will perform vehicle modelling and simulation of advanced powertrains to quantify the impacts of new component technologies, control algorithms and powertrain architectures with focus on electrification. The candidate will assist on projects to benchmark next generation vehicle systems, identify opportunities for improvement, and/or analyze their impacts at individual, regional and national level. The successful candidate will also be tasked developing new ideas into projects under the supervision of more experience researchers.
Current project opportunities include quantifying the impact of advanced vehicle technologies applicable to light duty, medium duty and heavy-duty vehicles, hybrid, battery electric and fuel cell powertrain design, development of supervisory control logic, validation of vehicle models against test data etc. The projects and interests of this group spans all modes of transportation including off-road, rail & marine applications too. These projects involve close collaboration with industrial and academic partners, and engagement with multidisciplinary project teams. Researchers are expected to communicate results through well-designed presentations, publish journal articles and reports, and present results at conferences, workshops, and project meetings.
Ideal candidates have technical experience in vehicle (on road, offroad, rail or marine) modelling, systems analysis, techno-economic analysis of vehicle systems. Prior experience in carrying out simulations to support research and development in the above topics is desirable.
The VMS Group supports DOE and other sponsors to assess the energy, cost and performance outcomes associated with specific technologies in order to guide R&D efforts, identify improvement opportunities. Researchers are responsible for supporting the PIs on their specific projects. They are expected to collaborate with experts from Argonne as well as in industry and at other national laboratories.
The VMS group develops and maintains several simulation tools such as Autonomie, Polaris, RoadRunner, BEAN, SVTriP. which are widely used by government, industry, and academic stakeholders. RD1 researchers will contribute to the development of the above tools.
Position Requirements
Qualified individuals should have a Masters and 2-3 years of experience or Ph.D. and 1 year of experience in in mechanical or electrical engineering or other related field with industrial or research experience relevant to advanced vehicle concepts.
At least 2 years of experience with electrified powertrain (e.g., hybrid, battery electric or fuel cell) system modeling and simulation.
Demonstrated accomplishments in vehicle energy consumption assessment. Proficiency in simulation tools used in analyzing vehicle energy consumption.
Passion for and experience in data-driven modeling and analysis.
Demonstrated ability to perform vehicle modelling and simulation as well as techno-economic analysis, and writing scientific publications.
Familiarity with a wide range of tools and techniques relevant for vehicle modelling and simulation analysis, with expertise in Matlab, Simulink, Stateflow and preferably Autonomie.
Well-developed problem-solving, systems thinking, quantitative, and critical thinking skills; intellectual curiosity. Able to structure and formulate solutions to complex problems.
Highly motivated and detail oriented with the ability to work independently and in close collaboration with team members. Energized by working as part of a high functioning team and demonstrates a professional attitude.
Skilled written and verbal communicator, including the ability to present complex information so that it is understandable to a broad audience.
Computer skills relevant for data manipulation and analysis including experience with creating and using complex models in Simulink & scripting in Matlab, Python, R.
A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Job Family
Research Development (RD)Job Profile
Eng Systems Modeling-Simulation-Analysis 1Worker Type
RegularTime 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.
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Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.
Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
