Battery Materials Postdoctoral Researcher
About the role
The Energy Storage Research and Analysis Department at Idaho National Laboratory is seeking Postdoctoral Research Associates to join a dedicated team focused on accelerating advanced battery development and validation using a combination of experimental, modeling, and machine learning methodologies.
Responsibilities
- Prepare and modify materials for electrochemical, physical, and chemical characterization.
- Conduct experimental investigation of advanced Li and Li-ion battery materials and other advanced battery chemistries.
- Use Matlab, Python, or similar software for data analysis.
- Apply advanced data analysis techniques including machine learning and artificial intelligence.
- Independently complete tasks aligned with core expertise and provide timely updates to the project lead and other team members.
- Communicate research results through peer-reviewed publications and presentations at national and international scientific meetings.
Requirements
Required PhD in chemistry, materials science, mechanical, chemical, electrical engineering, or related disciplines completed within the last 5 years. Demonstrated oral and written communication skills in English. Prior experience with Li or Li-ion battery materials, experience in surface characterization, and materials synthesis. Experience using Matlab, Python, or similar software. Knowledge of and experience using advanced data analysis techniques including machine learning/ artificial intelligence.
Qualifications
Demonstrated ability to independently complete tasks aligned with core expertise and provide timely updates to the project lead and other team members. Clear communication and the dissemination of research results in the form of peer reviewed publications and presentations at national and international scientific meetings is expected for this position.
Skills
Experience in characterization of battery materials or materials synthesis. Experience using Matlab, Python, or other similar software. Knowledge of and experience using advanced data analysis techniques including ML/AL.
Benefits
The pay for this position is $105,144.00 annually. Benefits include medical, dental, vision, and flexible spending accounts; a 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; Employee Education Program (tuition assistance for eligible positions); comprehensive relocation package; and reasonable accommodation for individuals with disabilities.
Pay
$105,144.00 Annually
Schedule
A 9x80 schedule with every other Friday off.