Responsibilities

We are offering a hands‑on internship for students interested in applying advanced AI methods to real engineering problems. This project focuses on designing, implementing, and training Physics‑Informed Neural Networks (PINNs). As part of this opportunity, the successful internship candidate will implement stress solver equations in partial differential equation (PDE) form for direct use in PINN model training, design and iterate the (deep) NN architecture, design and implement the NN learning/training environment, etc.

Students will work closely with engineering and AI mentors to develop models that predict stress, displacement, and thermal expansion behavior in complex piping systems.

• Convert mechanical/pipe‑stress code equations into PDE or variational forms for use in PINN models.
• Develop and train PINNs in PyTorch to model stress, displacement, and thermal expansion responses.
• Create and preprocess simulation data; use TensorBoard for experiment tracking and visualization.
• Build NN training/learning environments and agents to explore piping layout optimization strategies.
• Validate AI models against existing solver results and assist in integrating NN prediction results into analysis workflows.

Education / Qualifications

• Currently pursuing a degree in a related technical field (Mechanical Engineering with computer science background preferred).
• Solid understanding of mechanics, differential equations, and numerical methods.
• Proficiency with Python and strong interest in machine learning.
• Strong analytical and problem‑solving skills.
• Ability to collaborate effectively with cross-functional teams.

Preferred Qualifications

• Experience with PyTorch, PINNs, or scientific machine learning.
• Familiarity with FEA concepts, PDE solvers, or reinforcement learning.
• Knowledge of piping systems and codes such as ASME B31 is a plus.
• Strong software engineering fundamentals.

What Students Will Gain

• Hands‑on experience with advanced AI techniques (PINNs, RL).
• Practical exposure to engineering modeling and simulation workflows.
• Mentorship from experienced engineers and AI developers.
• A portfolio‑ready project directly applicable to real‑world engineering challenges.

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About Octave

Octave provides mission-critical software that empowers organizations to make informed decisions across every stage of the asset lifecycle - Design, Build, Operate and Protect - where performance, safety, and reliability are non-negotiable and failure is not an option.

Turning complex operational data into actionable intelligence, Octave connects expertise, real-world conditions and enterprise-scale insight to improve performance, resilience and incident response where it matters most.

Octave has more than 7,000 employees in 45 countries. Learn more at octave.com and follow us on LinkedIn.

Why work for Octave?

All in. Always forward. That's the way we do things around here. We put trust in our people because we believe it's the best way to unleash potential, bring ideas to life, and keep moving ahead. And it's why we're committed to creating an environment that's truly supportive, providing you with the resources you need to support your ambitions, no matter who you are or where you are in the world.

Everyone is welcome

At Octave, we believe that diverse and inclusive teams are critical to the success of our people and our business. Here, everyone is welcome. As an inclusive workplace, we don't discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all. 

Respect is the cornerstone of how we operate, so speak up and be yourself. You're valued here.