Reasoning on Graph Representations in Engineering Design - Internship

Overview

Internship researching graph neural networks for engineering design

Key Responsibilities

• technical reporting
• software demo
• tech transfer
• low‑trl research
• machine learning
• graph neural

Tasks

-Create technical reports. -Work with Siemens software products (e.g., Capital) to develop demonstrators and participate in technology transition to Siemens’ businesses. -Develop demonstrators and participate in technology transition to business. -Work on low-TRL research projects. -Work on fast-paced co-creation projects with quickly changing requirements in the field at the intersection of machine learning and engineering design. -Create academic publications. -Contribute to the task of exploring reasoning over graph representations using graph neural networks. -Work on the task of exploring application of graph neural networks to engineering design.

Requirements

• python
• pytorch
• pyg
• phd
• ai/ml
• gnns

What You Bring

-Proficiency in python, PyTorch and PyG. -PhD students in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, or related discipline. -English language skill both written and verbal -Legal authorization to work in the United States without company sponsorship now or in the future. -Familiarity with techniques involving handling large scale graphs. -Research specialization in the application of AI/ML for engineering design. -Research specialization in graph neural networks and generative models. -Familiar with integration of graph neural networks with knowledge graphs.

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About Siemens

-The company drives progress with solutions in electrification, automation, and digitalization across industries. -With cutting-edge products and services, it leads sustainable innovation for industries like energy, manufacturing, and infrastructure. -Its impressive portfolio includes smart grids, automated factories, advanced healthcare technologies, and solutions for urban mobility. -Siemens’ digital solutions enhance efficiency and sustainability in everything from smart buildings to electric vehicles. -It has contributed to iconic projects, including energy-efficient train systems and automation in key industrial sectors. -Transforming how industries use digital technology to optimize operations and tackle global challenges.

Sector Specialisms

Visa Sponsorship

-no sponsorship; must have legal us work authorization now and in the future