Postdoctoral Researcher in Computational 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

Postdoctoral Researcher in Computational Energy Materials Discovery

Johns Hopkins University · Entropy for Energy Laboratory

Maryland

Not specified

About This Opportunity

Johns Hopkins University is recruiting 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.

The Entropy for Energy Laboratory at Johns Hopkins University is recruiting postdoctoral researchers in data-driven discovery of energy materials. Projects focus on computational materials research for clean hydrogen production, waste-heat conversion, nuclear power and energy storage. The role requires ab-initio simulation, programming, materials-theory expertise and the ability to lead collaborative research with experimentalists.

Computational Energy Materials Discovery Materials Science

Level Postdoc

Field Computational Energy Materials Discovery

Organization Type University

Funding & Compensation

Amount Paid

Funding Type Salary

Funding Status Paid

Requirements

Education

Applicants must hold a doctorate in materials science, physics, chemistry, computer science or a related field. Graduate students near Ph.D. completion may apply.

Experience

Applicants must have a proven track record of first-author publications and presentations, including at least three accessible peer-reviewed first-author publications. Proven experience with VASP, Quantum ESPRESSO, LAMMPS or other ab-initio codes is required.

Technical Skills

VASP Quantum ESPRESSO LAMMPS Ab-initio simulation C++ Python Unix systems Thermodynamics of materials Solid-state physics Inorganic chemistry Metallurgy High-entropy materials Disorder in materials Phonons Magnetism Catalysis Machine learning Artificial intelligence Database/API development AFLOW repositories

General Skills

Research leadership Collaboration with experimentalists Scientific presentation Manuscript preparation Analytical thinking

Languages

Citizens of China, Russia, North Korea and Iran are not permitted to participate. Applicants must be able to move to and work at Johns Hopkins University in the United States.