Physics‑Based AM Research Associate (Remote)

Johns Hopkins University; Gaithersburg (MD); On-site; USD 39,000 - 45,000; Full time

Job summary

Johns Hopkins University in Gaithersburg is seeking a PREP Research Associate to support physics-based modeling, simulation, and optimization for additive manufacturing collaborations with NIST. The role emphasizes thermal, melt‑pool, and thermomechanical modeling, with occasional on-site work and external facility exposure.

You will develop computational workflows in MATLAB/Python, validate models against process measurements, and assist with post‑process characterization while collaborating

Qualifications

• PhD holder or current PhD student in mechanical engineering, materials science, or related field.
• Experience with physics-based modeling and simulation of laser powder bed fusion or related processes.
• Strong MATLAB/Python skills and ability to develop computational workflows.

Responsibilities

• Develop and calibrate physics-based thermal, melt-pool, and thermomechanical models for LPBF.
• Optimize single- and dual-laser scan strategies and laser power schedules for thermal history and microstructure control.
• Create and document computational workflows for simulation, optimization, and data analysis.
• Compare model predictions with in-situ measurements and experimental data for validation.
• Support experiments at NIST AMMT/LPDT and related facilities, including occasional external synchrotron work.
• Perform post-processing material characterization using microscopy and X-ray techniques.
• Present findings at internal meetings and coordinate with partners.

Skills

Physics-based modeling

Thermal modeling

Thermomechanical modeling

Laser powder bed fusion

Multi‑laser / dual‑laser AM

Python

MATLAB

Modeling and simulation

Education

PhD in mechanical engineering or materials science

Tools

MATLAB

Python

C/C++

Finite element software

Data analysis

Job description

Johns Hopkins University in Gaithersburg is seeking a PREP Research Associate to support physics-based modeling, simulation, and optimization for additive manufacturing collaborations with NIST. The role emphasizes thermal, melt‑pool, and thermomechanical modeling, with occasional on-site work and external facility exposure.

You will develop computational workflows in MATLAB/Python, validate models against process measurements, and assist with post‑process characterization while collaborating