Battery Modeling Postdoc: AI-Driven Mesoscale Simulations

Argonne National Laboratory; Lemont (IL); On-site; USD 60,000 - 80,000; Full time

Job summary

Argonne National Laboratory invites applications for a Postdoctoral Appointee position in the Chemical Sciences and Engineering Division. The successful candidate will focus on research in meso- and macroscale modeling of next-generation batteries, utilizing advanced AI tools.

Responsibilities include developing computational models for battery materials, conducting numerical simulations, and analyzing data. Candidates should have a recent PhD and strong experience in electrochemistry, battery science, and AI applications.

Qualifications

• Recent or soon-to-be-completed PhD in a relevant field.
• Deep understanding of electrochemistry and battery science.
• Strong experience in computational modeling principles.
• Strong skills in applying AI tools to research.

Responsibilities

• Develop computational models for battery materials and processes.
• Analyze and interpret simulation and experimental data.
• Integrate AI tools to enhance modeling processes.
• Collaborate with interdisciplinary research teams.

Skills

Electrochemistry

Computational modeling

AI tools

Numerical simulations

Scientific writing

Education

PhD in Chemical Engineering, Mechanical Engineering, Materials Science, or Chemistry

Job description

Argonne National Laboratory invites applications for a Postdoctoral Appointee position in the Chemical Sciences and Engineering Division. The successful candidate will focus on research in meso- and macroscale modeling of next-generation batteries, utilizing advanced AI tools.

Responsibilities include developing computational models for battery materials, conducting numerical simulations, and analyzing data. Candidates should have a recent PhD and strong experience in electrochemistry, battery science, and AI applications.