AI-Driven Postdoc: High-Energy Li–S Battery Research

Argonne National Laboratory; United States; Remote; USD 72,879 - 121,465; Full time

Benefits offered by this job

Comprehensive employee benefits

Job summary

Argonne National Laboratory seeks a Postdoctoral Appointee to lead research on high-energy, long-cycle-life lithium–sulfur batteries using AI under a supervisor's guidance. Responsibilities include synthesizing sulfur cathodes, performing physical and chemical characterization, and electrochemical evaluation. Ideal candidates should have a recent PhD, experience with AI in battery research, and strong skills in material characterization. The expected hiring range is $72,879–$121,465.

Qualifications

• Recent or soon-to-be-completed PhD within the last 0-5 years.
• Experience leveraging artificial intelligence or machine learning in battery development.
• Demonstrated expertise in lithium–sulfur battery materials.

Responsibilities

• Develop high-energy-density, long-life lithium–sulfur batteries.
• Synthesize and optimize sulfur cathode materials.
• Analyze and interpret experimental data.

Skills

Artificial intelligence in battery research

Synthesis of sulfur cathodes

Electrochemical testing

Knowledge of interfacial engineering

Strong communication skills

Education

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

Tools

Synchrotron X-ray spectroscopy

Cyclic voltammetry (CV)

Electrochemical impedance spectroscopy (EIS)

Job description

Argonne National Laboratory seeks a Postdoctoral Appointee to lead research on high-energy, long-cycle-life lithium–sulfur batteries using AI under a supervisor's guidance. Responsibilities include synthesizing sulfur cathodes, performing physical and chemical characterization, and electrochemical evaluation. Ideal candidates should have a recent PhD, experience with AI in battery research, and strong skills in material characterization. The expected hiring range is $72,879–$121,465.