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AeroVironment

Robot type
Drone · Defense
Location
USA
Job type
Business Operations
Posted
Aug 27, 2026
Full-time

Computational Polymer Scientist

Job description

In this role, you will perform theoretical and computational research on the dynamics and rheology of covalent adaptable polymer networks tailored for critical Department of War (DoW) applications. You will work at the interface of chemistry, physics, and computer science, collaborating closely with leading experimentalists and academic partners to translate molecular-level design into macroscopic material predictions.

AeroVironment, Inc. is seeking a highly skilled and self-motivated Computational Polymer Scientist/Research Scientist to join our collaborative, multidisciplinary team supporting the Air Force Research Laboratory (AFRL).

Job responsibilities

  • Scientific Research: Conduct independent research investigating the structural dynamics, viscoelasticity, and rheological properties of dynamic, covalent adaptable networks.
  • Code Development: Develop and implement custom Python-based software and algorithms for GPU-accelerated rheology predictions.
  • Simulation & Modeling: Utilize advanced molecular dynamics (MD) simulations and theoretical polymer physics frameworks to model network behavior.
  • Collaboration: Act as the primary computational liaison, coordinating closely with experimental chemists, materials scientists, and academic collaborators.
  • Project Communication: Drive project milestones, present findings to stakeholders, and draft high-quality technical reports and peer-reviewed publications.

Job requirements

  • This position involves working within a government facility and requires U.S. Citizenship
  • Education: Doctorate (PhD) in Physics, Chemistry, Materials Science, Chemical Engineering, Polymer Science, or a closely related field.
  • Technical Experience: Theoretical background in polymer physics and polymer networks.
  • Computational Experience: Hands-on experience executing and analyzing molecular dynamics (MD) simulations.
  • Programming Skills: Strong programming proficiency in Python for code development.
  • Professional Capabilities: Demonstrated PhD-level critical problem-solving skills and a proven track record of research via publications.
  • Communication: Excellent communication skills for active cross-disciplinary collaboration.
  • Experience with GPU-accelerated computing frameworks (e.g., CUDA, CuPy, or GPU-enabled LAMMPS).
Apply on AeroVironment websiteSave

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