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Postdoctoral Fellow in Atomistic Simulations and AI Materials Design

Job in Gaithersburg, Montgomery County, Maryland, 20877, USA
Listing for: Laplace Expert Ltd
Full Time position
Listed on 2026-11-01
Job specializations:
  • Research/Development
    Postdoctoral Research Fellow, Research Scientist, Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Postdoctoral Fellow in Atomistic Simulations and AI for Materials Design

Johns Hopkins University

Maryland

Not specified

About This Opportunity

Johns Hopkins University is recruiting a Postdoctoral Fellow in atomistic simulations and AI for materials design. The role focuses on DFT, machine-learned force fields, graph neural networks and large language models for materials discovery.

The AtomGPTLab at Johns Hopkins University is recruiting a postdoctoral fellow in atomistic simulations, machine-learned force fields and artificial intelligence. The researcher will help build a computational platform that integrates first-principles methods, molecular simulations, graph neural networks and large language models to accelerate experimental design and discovery of functional materials. The role includes high-throughput DFT, model development, data integration, open-source contributions, mentoring and manuscript preparation.

Atomistic

Simulation and AI for Materials Design Materials Science Level Postdoc Field Atomistic Simulation and AI for Materials Design Organization Type University Funding & Compensation Amount Paid Funding Type Salary Funding Status Paid Requirements Education

Applicants must hold a Ph.D. in Materials Science, Physics, Chemistry, Chemical Engineering, Computer Science or a related field.

Experience

Applicants must demonstrate experience in at least one of density functional theory, machine-learned force fields, graph neural networks or large language models.

Technical Skills
  • Density functional theory
  • Machine-learned force fields
  • Graph neural networks
  • Large language models
  • VASP
  • Quantum ESPRESSO
  • GPAW
  • ALIGNN-FF
  • ALIGNN
  • Hugging Face
  • OpenAI
  • AtomGPT
  • JARVIS-Tools
  • ASE
  • High-performance computing
  • Python
  • Git
  • Conda packaging
  • Surrogate modeling
General Skills
  • Interdisciplinary collaboration
  • Mentoring
  • Manuscript writing
  • Grant proposal contribution
  • Scientific communication
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