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Reasoning on Graph Representations in Engineering Design - Internship

Siemens

The Role

Overview

Internship researching graph neural networks for engineering design at Siemens.

Key Responsibilities

  • technical reports
  • capital software
  • demo development
  • tech transition
  • low-trl research
  • 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
  • phd
  • english
  • us auth
  • gnn

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.

The Company

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

Industrial Automation

Building Automation

Rail Transport

Health Technology

Factory Automation

Process Industries

Pharmaceuticals

Chemicals

Food and Beverage

Electronics

Semiconductors

Power Systems

Healthcare

Transportation

Energy

Infrastructure

Digital Industries

Industrial Control Systems

Sensors

Radio-Frequency Identification

Product Lifecycle Management

Simulation and Testing

Cloud-based IoT

Software as a Service

Digital Twins

Visa Sponsorship

-requires existing us work authorization; no sponsorship provided.