Postdoc: Data-Driven Energy Materials Discovery

Laplace Expert Ltd; Maryland; On-site; USD 60,000 - 75,000; Full time

Job summary

Johns Hopkins University’s Entropy for Energy Laboratory is seeking a Postdoctoral Researcher in computational energy materials discovery. The role focuses on data‑driven materials design for clean hydrogen, waste‑heat conversion, nuclear power and energy storage, leveraging ab‑initio simulations and collaborative research with experimentalists.

Strong programming skills (C++, Python) and experience with VASP/Quantum ESPRESSO/LAMMPS are required.

Qualifications

• Applicants must have a PhD in materials science, physics, chemistry, computer science or a related field, with graduates near completion eligible.
• At least three peer‑reviewed first‑author publications and a proven track record in presenting results.
• Experience with VASP, Quantum ESPRESSO, LAMMPS or other ab‑initio codes is required.

Responsibilities

• Conduct data‑driven discovery of energy materials using ab‑initio methods.
• Lead collaborative research with experimentalists and researchers.
• Develop and apply computational workflows for materials discovery.
• Publish findings in peer‑reviewed journals and present at seminars.

Skills

First-author publications

Ab-initio simulation

Programming

Education

PhD in materials science / physics / chemistry / CS or related field

Tools

VASP

Quantum ESPRESSO

LAMMPS

C++

Python

Unix

Job description

Johns Hopkins University’s Entropy for Energy Laboratory is seeking a Postdoctoral Researcher in computational energy materials discovery. The role focuses on data‑driven materials design for clean hydrogen, waste‑heat conversion, nuclear power and energy storage, leveraging ab‑initio simulations and collaborative research with experimentalists.

Strong programming skills (C++, Python) and experience with VASP/Quantum ESPRESSO/LAMMPS are required.