Postdoc: Data-Driven Energy Materials & ML Discovery

Laplace Expert Ltd; Maryland; On-site; USD 55,000 - 70,000; Full time

Job summary

Johns Hopkins University in Maryland seeks a Postdoctoral Researcher in data-driven energy materials discovery. The role focuses on computational materials science for clean hydrogen, energy storage, and related technologies.

The position demands ab-initio simulation expertise, strong publication record, programming skills and ability to lead collaborative computational materials projects at the Entropy for Energy Laboratory.

Qualifications

• PhD in a relevant field with strong publication record.
• At least three first-author publications and a proven ability to communicate results clearly.

Responsibilities

• Lead collaborative computational materials projects at the Entropy for Energy Laboratory.
• Develop and apply data-driven workflows for energy materials discovery.
• Publish findings in peer-reviewed journals and present at conferences.

Skills

Research leadership

Analytical thinking

Manuscript preparation

Collaboration with experimentalists

Education

Doctoral degree in materials science, physics, chemistry, or related field

Tools

VASP

Quantum ESPRESSO

LAMMPS

Ab-initio simulation

C++

Python

Unix systems

AFLOW repositories

Database/API development

Job description

Johns Hopkins University in Maryland seeks a Postdoctoral Researcher in data-driven energy materials discovery. The role focuses on computational materials science for clean hydrogen, energy storage, and related technologies.

The position demands ab-initio simulation expertise, strong publication record, programming skills and ability to lead collaborative computational materials projects at the Entropy for Energy Laboratory.