Postdoctoral Researcher in Data-Driven Energy Materials 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

Postdoctoral Researcher in Data-Driven 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 data-driven energy materials discovery. The role focuses on computational materials science for clean hydrogen, waste-heat conversion, power generation 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 and materials-theory approaches for clean hydrogen production, waste-heat conversion, power generation and energy storage. The role requires ab-initio simulation expertise, programming skills, a strong publication record and the ability to lead collaborative computational materials projects.

Field

Data-Driven Energy Materials Discovery

Level

Postdoc

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 if they provide anticipated defense and graduation dates.

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
• Catalysis
• Machine learning
• Artificial intelligence
• Database/API development
• AFLOW repositories

General Skills

• Research leadership
• Collaboration with experimentalists
• Scientific presentation
• Manuscript preparation
• Analytical thinking

Languages

Applicants must be able to move to and work at Johns Hopkins University in the United States. The successful candidate is subject to a pre-employment background check, including education verification.