Publisher
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Sourav Saha

1 year ago

Aerospace and Ocean Engineering Virginia Tech in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full support is provided, including tuition, a competitive stipend, and benefits. Access to HPC/GPU resources and opportunities for industry-aligned projects are also offered.

Deadline

Dec 28, 2026

Country flag

Country

United States

University

Virginia Tech

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Keywords

Computer Science
Mechanical Engineering
Materials Science
Aerospace Engineering
Data Fusion
Manufacturing Engineering
Additive Manufacturing
Computational Mechanics
Reinforcement Learning
Multiscale Modeling
Artificial Neural Network

About this position

IMMPACT LAB at Virginia Tech's Department of Aerospace and Ocean Engineering is recruiting a PhD student for Fall 2026. The lab specializes in additive manufacturing, multiscale mechanics, and mechanistic AI/ML, focusing on developing intelligent algorithms for materials and manufacturing process design. Research themes include scalable agentic AI for resource-constrained applications, separable neural architectures for reduced order models and digital twins, advanced manufacturing processes, computational mechanics at scale, and multimodal sensing and data fusion.

The position offers full support, including tuition, competitive stipend, benefits, mentorship, access to HPC/GPU resources, and opportunities for industry-aligned projects. Ideal candidates should have experience in programming (C/C++/Python), computational modeling, scientific computing (NumPy, SciPy, PyTorch/JAX), and backgrounds in mechanical engineering, aerospace, applied mathematics, industrial engineering, or materials science. To apply, candidates should fill out the provided application form and may contact Sourav Saha for further information.

Funding details

Full support is provided, including tuition, a competitive stipend, and benefits. Access to HPC/GPU resources and opportunities for industry-aligned projects are also offered.

What's required

Applicants should have a background in programming (C/C++/Python), computational modeling, scientific computing (NumPy, SciPy, PyTorch/JAX), data-driven engineering, manufacturing, and materials science. Candidates from mechanical engineering, aerospace, applied mathematics, industrial engineering, and materials science are welcome. Experience in computational modeling and scientific computing is required. No specific GPA or language test requirements are mentioned.

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Professors

Assistant Professor at Virginia Tech

University Name
Country flag

United States

Research Interests

Aerospace Engineering

Computer Science

Materials Science

Reinforcement Learning

Multiscale Modeling