Postdoctoral Fellow: AI-Driven Atomistic Materials Design

Johns Hopkins University; Baltimore (MD); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Access to cutting-edge computing clusters

Interdisciplinary collaboration opportunities

Engagement with national labs and industry partners

Job summary

A leading research institution in Maryland is seeking a Postdoctoral Fellow to develop computational platforms for materials discovery. The candidate will work on atomistic simulations and integrate AI techniques, aiming to accelerate material design through interdisciplinary collaboration. The role requires a PhD and experience in relevant computational methods. Strong candidates will demonstrate expertise in DFT, machine-learning applications, and mentoring skills. This position offers a vibrant research environment and opportunities for career development.

Qualifications

• PhD in a relevant field is mandatory.
• Experience with DFT and machine-learned models is essential.
• Knowledge of software development and data integration is needed.

Responsibilities

• Conduct DFT calculations and manage datasets.
• Develop GNN architectures for materials property predictions.
• Train machine-learned models for simulations.

Skills

Density Functional Theory (DFT)

Machine-learned force fields (MLFF)

Graph neural networks (GNNs)

Large language models (LLMs)

Interdisciplinary collaboration

Education

PhD in Materials Science, Physics, Chemistry, Chemical Engineering, Computer Science, or related field

Tools

VASP

Quantum ESPRESSO

GPAW

Python

Git

Job description

A leading research institution in Maryland is seeking a Postdoctoral Fellow to develop computational platforms for materials discovery. The candidate will work on atomistic simulations and integrate AI techniques, aiming to accelerate material design through interdisciplinary collaboration. The role requires a PhD and experience in relevant computational methods. Strong candidates will demonstrate expertise in DFT, machine-learning applications, and mentoring skills. This position offers a vibrant research environment and opportunities for career development.