Battery Data Analytics and Failure Analysis Postdoctoral Research Associate
Indexed description
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.
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.
- 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.
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.
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