Research Associate – AI-Driven Battery Materials

Brookhaven National Laboratory; Upton (NY); On-site; USD 75,000 - 83,000; Full time

Job summary

Brookhaven National Laboratory invites applications for a two-year term Research Associate in the Electrochemical Energy Storage (EES) Group. You will contribute to advanced battery research across sulfur, sodium, and lithium systems, integrating AI/ML to accelerate materials discovery and optimization.

The role involves independent and collaborative research, coordinating with collaborators, and publishing results in peer-reviewed journals, with a salary range of $75,000–$83,000 per year.

Qualifications

• PhD required in Chemistry, Physics, Chemical/Materials Engineering or Mechanical Engineering.
• Experience in rechargeable battery systems and strong publication record.
• Experience applying AI/ML methods to battery materials development.
• Excellent written and oral communication skills for publications and presentations.

Responsibilities

• Design and synthesize electrode and electrolyte materials for sulfur, sodium, and lithium batteries.
• Perform electrochemical evaluations and advanced structural/chemical characterization.
• Apply AI/ML approaches to accelerate materials discovery and data-driven optimization.
• Coordinate research with academic and industrial collaborators and present results at conferences.

Skills

AI/ML in batteries

Battery materials

Electrochemistry

Education

PhD in Chemistry/Physics/Materials Science/Engineering

Job description

Brookhaven National Laboratory invites applications for a two-year term Research Associate in the Electrochemical Energy Storage (EES) Group. You will contribute to advanced battery research across sulfur, sodium, and lithium systems, integrating AI/ML to accelerate materials discovery and optimization.

The role involves independent and collaborative research, coordinating with collaborators, and publishing results in peer-reviewed journals, with a salary range of $75,000–$83,000 per year.