Postdoc: Multiphysics Process Modeling for Metals

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 60,000 - 80,000; Full time

Job summary

Los Alamos National Laboratory is seeking a postdoctoral researcher to develop and apply computational models related to manufacturing processes. The successful candidate will work closely with interdisciplinary teams on projects involving casting, heat treatment, and material compatibility, ensuring that models are validated against experimental data.

The role requires experience in computational modeling, strong communication skills, and the ability to conduct independent research. An emphasis on teamwork and a PhD in a relevant field are essential.

Qualifications

• Experience developing and validating computational models for materials or manufacturing processes.
• Strong written and oral communication skills for documenting methods and presenting findings.
• Ability to work effectively in teams while also conducting independent research.

Responsibilities

• Develop and apply computational models for manufacturing process development.
• Work with interdisciplinary teams to validate models against experimental data.
• Communicate results and support the handoff of validated models to future projects.

Skills

Computational simulation modeling

Programming with Python

Finite element analysis

Thermal-mechanical deformation

Interdisciplinary teamwork

Education

PhD in relevant field

Tools

Abaqus

ANSYS

COMSOL

MATLAB

Python

Job description

Los Alamos National Laboratory is seeking a postdoctoral researcher to develop and apply computational models related to manufacturing processes. The successful candidate will work closely with interdisciplinary teams on projects involving casting, heat treatment, and material compatibility, ensuring that models are validated against experimental data.

The role requires experience in computational modeling, strong communication skills, and the ability to conduct independent research. An emphasis on teamwork and a PhD in a relevant field are essential.