Graduate Student Research Assistant- Computational Modeling Of Polymer Solution Behavior

AeroVironment (AVAV)

WPAFB, USA
$0 - $0; not specified; not specified ph
Theory-informed machine learning
Polymer solution theory
Python programming
Contribute to the computational polymer physics research team by developing theory-informed machine learning (ML) models to predict the complex phase behavior of ternary polymer solutions

Job Summary

  • Contribute to the computational polymer physics research team by developing theory-informed machine learning (ML) models to predict the complex phase behavior of ternary polymer solutions.
  • Leverage advanced ML techniques, such as theory-informed neural networks or graph neural networks (GNNs), to develop predictive models for ternary phase diagrams.
  • AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown.

Matching Summary

Contribute to the computational polymer physics research team by developing theory-informed machine learning (ML) models to predict the complex phase behavior of ternary polymer solutions.

Salary

$0 - $0; Not specified; Not specified

Skills & Requirements

Must-have

  • theory-informed machine learning
  • polymer solution theory
  • Python programming
  • PyTorch or TensorFlow
  • numerical methods
  • computational simulations

Nice-to-have

  • statistical mechanics
  • advanced computational techniques
  • high-performance computing environments

Key Requirements

  • Currently enrolled in a Ph.D. program
  • US citizenship required
  • Ability to obtain a security clearance

Work Rights

Must be a U.S. person under ITAR/EAR

Tailored Resume

Cover Letter