Postdoc: Digital Twin for Large-Scale Structures

Virginia AG; Charlottesville (VA); On-site; USD 60,000 - 63,000; Full time

Job summary

The University of Virginia seeks a Postdoctoral Research Associate in the I-S 2 EE Lab to advance informative digital twinning for large-scale structural systems. You will engage in vision-based experimental mechanics, model-based computational mechanics, deep learning, and mixed reality visualization within a multidisciplinary team.

The role emphasizes depth in one area with fluency in others, collaboration, and potential for external funding proposals.

Qualifications

• Expertise in AI/ML, deep learning, and vision-based sensing.
• Experience with experimental mechanics and image-based evaluation methods.
• Ability to contribute to multi-disciplinary research and writing.

Responsibilities

• Advance visual sensing and data analysis for resilient infrastructure.
• Collaborate on multidisciplinary research including FEM simulations and experiments.
• Develop predictive models for damage and fatigue.
• Contribute to education research within the project.
• Assist in writing proposals and scholarly articles.

Skills

AI methods

Deep learning

Vision-based sensing

Data analytics

Finite element

Mixed reality

Collaboration

Education

PhD in Civil/Environmental Eng

Tools

Python

TensorFlow/PyTorch

Job description

The University of Virginia seeks a Postdoctoral Research Associate in the I-S 2 EE Lab to advance informative digital twinning for large-scale structural systems. You will engage in vision-based experimental mechanics, model-based computational mechanics, deep learning, and mixed reality visualization within a multidisciplinary team.

The role emphasizes depth in one area with fluency in others, collaboration, and potential for external funding proposals.