Postdoctoral Associate in Mechanical Engineering (Argonne National Laboratory)

Location: Lemont, Illinois (On-site, 5 days/week) Employment Type: Full-Time, Long-Term (Fixed Term) Hiring Range: $70,758 – $117,925 (depends on qualifications and responsibilities) Application Contact: careers@anl.gov \| +1 630-252-2336 Position Overview The Applied Materials Division seeks a postdoctoral researcher to perform simulation campaigns and develop AI models for composite materials discovery. The candidate will work closely with a multidisciplinary team to model composites of arbitrary structures, predict homogenized properties, and integrate AI workflows for design and discovery. This position includes research, technical writing, and conference presentations, with opportunities to co-author publications. Key Responsibilities Perform finite element simulations of composite materials. Generate and curate a material property database for composites. Collaborate with AI experts to develop models and workflows for composite discovery. Draft technical reports, conference papers, and journal publications. Present research outcomes at technical conferences. Work collaboratively in a multidisciplinary research environment. Required Qualifications Ph.D. in Mechanical Engineering, Materials Science, Civil Engineering, Computer Science, or closely related field (recent or completed within last 0–5 years). Experience with finite element method (FEM). Proficiency in C++ and Python. Skilled in Unix-based operating systems. Strong oral and written communication skills. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Must be able to work on-site at Argonne’s Lemont campus. Preferred Qualifications Experience with MOOSE framework. Experience with PyTorch for AI/ML applications. Experience with high-performance computing (HPC) job scheduling systems. Benefits Comprehensive benefits package (health, retirement, leave, and more) Opportunities to participate in cutting-edge research across energy, environment, technology, and national security Professional development and career advancement support Equal Opportunity Statement Argonne National Laboratory is committed to: A safe, welcoming, and inclusive workplace Nondiscrimination and consideration of all qualified applicants Compliance with DOE regulations regarding foreign government participation Additional Information All offers contingent on background check and, if required, government access authorization. For accommodation or application support, contact careers@anl.gov. If you apply for this position please say you saw it on Academicoxy

Location: Lemont, Illinois (On-site, 5 days/week)
Employment Type: Full-Time, Long-Term (Fixed Term)
Hiring Range: $70,758 – $117,925 (depends on qualifications and responsibilities)
Application Contact: careers@anl.gov | +1 630-252-2336

Position Overview

The Applied Materials Division seeks a postdoctoral researcher to perform simulation campaigns and develop AI models for composite materials discovery. The candidate will work closely with a multidisciplinary team to model composites of arbitrary structures, predict homogenized properties, and integrate AI workflows for design and discovery.

This position includes research, technical writing, and conference presentations, with opportunities to co-author publications.

Key Responsibilities

Perform finite element simulations of composite materials.
Generate and curate a material property database for composites.
Collaborate with AI experts to develop models and workflows for composite discovery.
Draft technical reports, conference papers, and journal publications.
Present research outcomes at technical conferences.
Work collaboratively in a multidisciplinary research environment.

Required Qualifications

Ph.D. in Mechanical Engineering, Materials Science, Civil Engineering, Computer Science, or closely related field (recent or completed within last 0–5 years).
Experience with finite element method (FEM).
Proficiency in C++ and Python.
Skilled in Unix-based operating systems.
Strong oral and written communication skills.
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Must be able to work on-site at Argonne’s Lemont campus.

Preferred Qualifications

Experience with MOOSE framework.
Experience with PyTorch for AI/ML applications.
Experience with high-performance computing (HPC) job scheduling systems.

Benefits

Comprehensive benefits package (health, retirement, leave, and more)
Opportunities to participate in cutting-edge research across energy, environment, technology, and national security
Professional development and career advancement support

Equal Opportunity Statement

Argonne National Laboratory is committed to:

A safe, welcoming, and inclusive workplace
Nondiscrimination and consideration of all qualified applicants
Compliance with DOE regulations regarding foreign government participation

Additional Information

All offers contingent on background check and, if required, government access authorization.
For accommodation or application support, contact careers@anl.gov.

If you apply for this position please say you saw it on Academicoxy

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