Computational Modeling of Coupled Multiphysical Fields in Solids

About the role

The role involves modeling highly transient, coupled, multiphysical fields in solids using various computational methods such as analytical, finite element, finite difference, peridynamic, phase field, discrete element, and others. The emphasis is on validating models with experiments and verifying them with analytical solutions to complex coupled-field boundary value problems.

Responsibilities

• Modeling wave propagation, thermo-mechanical, and electromagnetic fields in finitely deformed matter
• Investigating fluid-structure interaction associated with shock, impact, dynamic fracture, and fragmentation phenomena
• Exploring machine learning techniques and topology optimization
• Conducting multiscale modeling of material microstructures using genetic programming and computational geometric methods

Requirements

• Proficiency in programming languages like Python, C++, Fortran, etc.
• Familiarity with software development tools, version control systems, and high-performance computing simulation environments
• Experience with FEniCS or similar open-source platforms for solving PDEs with FEM
• Strong mathematical and analytical skills, including linear algebra, calculus, continuum mechanics, thermodynamics, finite element, peridynamic, phase-field, or discrete element modeling, fracture mechanics
• Effective written and verbal communication skills for documenting and presenting research findings
• Collaboration and teamwork skills

Qualifications

• Citizenship: U.S. Citizen Only
• Education: Master's Degree or Doctoral Degree
• Experience Levels: Master’s Degree (Journeyman Fellow), Master’s Degree 7+ years (Senior Fellow), Doctoral Degree (Postdoctoral Fellow), Doctoral Degree 5+ years (Senior Fellow), or Faculty
• Disciplines: Open to all relevant disciplines

Skills

• Programming Languages: Python, C++, Fortran, etc.
• Software Development Tools
• Version Control Systems
• High-Performance Computing Simulation Environments
• FEniCS or Similar Platforms
• Mathematical and Analytical Skills
• Communication Skills
• Collaboration and Teamwork

Benefits

• Opportunities for collaboration with leading experts in the field
• Access to state-of-the-art computational resources
• Chances to contribute to cutting-edge research projects

Pay

• Competitive salary commensurate with experience

Schedule

• Full-time position

References

A complete application includes:

• Curriculum Vitae or Resume
• Three References Forms
• Transcripts verifying receipt of degree

Contact Information

For questions about this opportunity, please email: ARLFellowship@orau.org

References

To be included in the application:

• Three Reference Forms
• Email with a link to the reference form sent to selected references

References

References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable)

References

Transcripts verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable

References

If selected by an advisor, the participant will be required to write a research proposal to submit to the ARL-RAP review panel for:

• Research topic should relate to a specific opportunity at ARL (see Research Areas)
• The objective of the research topic should be clear and have a defined outcome
• Explain the direction you plan to pursue
• Include expected period for completing the study
• Include a brief background such as preparation and motivation for the research
• References of published efforts may be used to improve the proposal

References

A link to upload the proposal will be provided to the applicant once the advisor has made their selection

About ARD

ARL’s Army Research Directorate (ARD) focuses on exploiting concept development, discovery, technology development, and transition of the most promising disruptive science and technology to deliver to the Army fundamentally advantageous science-based capabilities through laboratory’s 11 research competencies. This intramural research directorate also manages the laboratory’s essential research programs, which are flagship research efforts focused on delivering defined outcomes.

About ARL-RAP

The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.

About SCIENCE OF EXTREME MATERIALS (SEM)

Materials and related manufacturing methods focusing on mechanical response and performance extremes, including active, adaptive, and flexible/soft materials; novel manufacturing science for energetic materials.