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Transportation Modeling and Machine Learning Engineer

Company: Battelle Energy Alliance
Location: Idaho Falls
Posted on: March 28, 2020

Job Description:

JOB INFORMATION

Job Title: Transportation Modeling and Machine Learning Engineer
Grade: 190
Org: Mobility Systems & Analytics
Contact: Christina.Morgan@inl.gov
Work Location: Idaho Falls, ID (Town)


MISSION/VISION STATEMENT


Changing the World's Energy Future by Breaking Ground on New Technology

MISSION: Discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

VISION: INL will change the world's energy future and secure our critical infrastructure.

EQUAL EMPLOYMENT OPPORTUNITY



Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Women and People of Color are strongly encouraged to apply.
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RESPONSIBILITIES

Idaho National Laboratory is seeking a R&D scientist/engineer for the Energy Storage and Advanced Transportation Department to help enable the next generation of transportation. The transportation sector is on the verge of dramatic change. Rapid technology development and evolving consumer preferences are enabling market penetration of connected, electric vehicles that can charge at high rates and the development of automated vehicles. Proliferation of these technologies has the potential to significantly alter how people travel, how goods are shipped, and how the transportation sector consumes energy.

In this role, you will be an integral member of a small team developing and integrating analytical methods and software that simultaneously simulates electric vehicles, charging infrastructure, and the electric grid. You will develop a set of tools on both Linux and Windows platforms that accurately model how electric vehicles behave as loads on the grid and how those loads can be shaped using smart charging control strategies. To enable this development, you will need strong skills in programming, as well as experience in advanced analytics methods, including machine learning. Prior experience developing transportation-related software tools is beneficial.

In this position, you will facilitate change as a researcher who can perform complex data analysis to inform on current and future electric vehicle use patterns. Your research will benefit private industry and help accomplish the goals of the U.S. Department of Energy's Vehicle Technologies Office to expand U.S. energy security, economic vitality, and quality of life by advancing state-of-the-art transportation solutions.

Tasks will be primarily focused on the interactions that occur as electric vehicles evolve to include higher-power charging, longer range, and increased use in fleets or shared mobility. Experience with data-driven modeling and machine learning to increase understanding of complex systems is a key requirement for this position. To be successful in this position, you will also need to have strong communication skills and the ability to effectively work on a small, cross-functional team. You will be expected to regularly provide written and verbal progress updates to project principal investigators and INL management.



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Masters degree in Computer Science, Computer Engineering, or other engineering or scientific field.

Demonstrated proficiency programming in Python and C , using object-oriented programming concepts and design patterns

Experience with machine learning or other forms of artificial intelligence

IDEAL CANDIDATE WILL MEET THE FOLLOWING CRITERIA:
Experience developing and integrating software on Windows and Linux platforms.

Experience using OpenMPI Experience working at or with firms developing software for use in the automotive, transportation, or electric utility sectors.

SPECIAL REQUIREMENTS AND/OR TRAINING:
Must be comfortable working as a member of a small team, with roles as both a technical contributor and the ability to grow into a task- or project lead. Candidate should be able and willing to grow into the capacity of working with limited direct or immediate supervision. Candidate should be able to contribute to the development of project- and/or task-specific scope, schedule, and cost planning estimates. Must be able to incorporate evolving technologies, toolsets, and methodologies into the teams work processes and products



SELECTIVE SERVICE REQUIREMENTS


To be eligible for employment at INL males between ages 18 and 25 must register (or must have registered) with the Selective Service System (SSS). This includes U.S. born and naturalized citizens, parolees, undocumented immigrants, legal permanent residents, asylum seekers, refugees, and all males with visas of any kind which expired more than 30 days ago. The few individuals who are exempt from this requirement are those on current non-immigrant visas. For more information see www.sss.gov.

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EMPLOYEE JOB FUNCTIONS


Employee Job Functions are physical actions and/or working conditions associated with the position. These functions may also constitute essential functions for the job position which the employee must be able to fulfill, with or without accommodation. Information provided below is to help describe the job so that the applicant has a reasonable understanding of the job duties/expectations. An applicant's ability to perform and/or tolerate these actions and conditions will be discussed and workplace accommodations may be made on a case-by-case basis following an individualized assessment of the applicant and other considerations, including but not limited to any governing safety standards.

Motor Abilities: Repetitive work.
Special Senses: Visually demanding work.

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PLEASE APPLY BEFORE: April 7, 2020 (Midnight)



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ENVIRONMENTAL, SAFETY AND HEALTH STATEMENT

Must be familiar with, and comply with all relevant health and safety requirements. Must be knowledgeable of emergency action policies and procedures, methods for reporting/resolving work practices or conditions to available cognizant professionals.

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OTHER INFORMATION

When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.

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INL OVERVIEW

INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 4,300 scientists, researchers and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and develop technologies that underpin the nation's nuclear and renewable energy, national security and environmental missions.

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THE IDAHO FALLS AREA

Idaho Falls is conveniently situated near many national treasures such as Yellowstone National Park, Teton National Park, Jackson, WY, etc. For more information about the area, please visit www.visitidahofalls.com and www.visitidaho.org.

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Keywords: Battelle Energy Alliance, Idaho Falls , Transportation Modeling and Machine Learning Engineer, Professions , Idaho Falls, Idaho

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