Battery Data Analytics and Failure Analysis Postdoctoral Research Associate

Posted Yesterday
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Idaho Falls, ID, USA
In-Office
105K-105K Annually
Entry level
Energy • Cybersecurity • Defense • Industrial
The Role
Conduct high-throughput battery data analysis and failure-mode research within an interdisciplinary team. Analyze time- and frequency-domain datasets to identify degradation and performance-loss signatures, connect findings to electrochemical, thermal, electrical, and mechanical mechanisms, and develop scalable workflows for battery test data. Communicate results through project updates, peer-reviewed publications, and scientific presentations.
Summary Generated by Built In

Idaho National Laboratory is hiring a well-qualified Postdoctoral Research associate in materials/chemical/mechanical/electrical/data or computer science or comparable discipline for the Energy Storage Research and Analysis Department. The successful candidate will specialize in high-throughput battery data analysis to characterize, identify and explain battery degradation and failure modes and their underlying mechanisms. Our team works a 9x80 schedule located out of Idaho Falls facility with every other Friday off.

The researcher will work within an interdisciplinary team of test engineers, battery scientists, data scientists, and artificial intelligence and machine learning (AI/ML) model developers. The team investigates how application-specific operating conditions and duty cycles affect battery performance, life, and safety. 

A central objective of this position is to translate large, complex experimental datasets into physically meaningful insights that support root-cause analysis and improved battery technologies. It is expected that the candidate has prior experience with Li or Li-ion battery electrochemical and non-electrochemical testing and/or data analysis, and familiarity of different conventional and non-conventional test methods that support failure mode analysis. Experience using Python, Matlab or other similar software is highly desired. 

Knowledge of and experience using advanced data analysis techniques including AI/ML is a plus. The ability to independently complete tasks aligned with the core expertise and provide timely updates to the project lead and other team members is required. Clear communication and the dissemination of research result in the form of peer reviewed publications and presentations at national and international scientific meetings are expected for this position. Offer and renewal is contingent on funding.
 

Required:

  • PhD in chemical engineering, mechanical engineering, electrical engineering, materials science, or a closely related field.
  • PhD requirements must be completed by commencement of appointment and within the previous 5 years.
  • Demonstrated oral and published written communication skills (in English). 
  • Analyze complex datasets in the time and frequency domains. Identify diagnostic signatures of battery degradation, performance loss, and failure. Link data-driven insights to electrochemical, thermal, electrical, and mechanical failure mechanisms
  • Develop or experience using scalable workflows for high-throughput battery test data.

Physical Requirements:

While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, bend, and work in an office and laboratory environment. The job requires hand/finger dexterity to keyboard or type, handle materials, manipulate tools, and reach with hands and arms. The job requires operation of job-related equipment. The employee must occasionally lift and/or move up to 25 pounds without assistance. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with the people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Job Information:

  • The pay for this position is $105,144.00 annually. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
About Us

Benefits and Relocation

  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.

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 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.

INL Mission:

Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision:

Our vision is to change the world's energy future and secure our nation's critical infrastructure.

Selective Service Requirements:

To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.

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.

Reasonable Accommodation:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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.

INL does not accept resumes from third party vendors unsolicited.

Skills Required

  • PhD in chemical engineering, mechanical engineering, electrical engineering, materials science, or a closely related field
  • PhD completed by the appointment start date and within the previous five years
  • Demonstrated oral and published written communication skills in English
  • Ability to analyze complex datasets in time and frequency domains
  • Ability to identify diagnostic signatures of battery degradation, performance loss, and failure
  • Ability to link data-driven insights to electrochemical, thermal, electrical, and mechanical failure mechanisms
  • Experience developing or using scalable workflows for high-throughput battery test data
  • Prior experience with lithium or lithium-ion battery electrochemical or non-electrochemical testing and/or data analysis
  • Experience using Python, MATLAB, or similar software
  • Knowledge of advanced data analysis techniques, including artificial intelligence and machine learning
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The Company
6,300 Employees
Year Founded: 1949

What We Do

Idaho National Laboratory (INL) is a U.S. Department of Energy national laboratory and the nation’s leading center for nuclear-energy research and development. It conducts scientific and engineering work across integrated energy systems, clean-energy technologies, cybersecurity, national and homeland security, critical infrastructure, and environmental science. Its mission is to discover, demonstrate, and secure innovative nuclear-energy solutions, other clean-energy options, and critical infrastructure.

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