Gas Pipeline Modelling Expert

5 hours ago


Pittsburgh, Pennsylvania, United States Leidos Full time

We are seeking a skilled Gas Pipeline Modelling Expert to join our team at Leidos, working in collaboration with world-class scientists and engineers at the National Energy Technology Laboratory (NETL) in Pittsburgh, PA.

This exciting opportunity will allow you to execute research alongside top experts, utilizing cutting-edge equipment to contribute to groundbreaking areas of basic and applied research. The work will focus on developing advanced physics-based models for understanding mechanical, structural, and fluid dynamics in natural gas infrastructure.

A key aspect of this role is integrating Computational Fluid Dynamics (CFD) and fluid-structure interaction (FSI) into gas pipeline modelling, as well as accelerating the training of AI and ML models. You will collaborate closely with an interdisciplinary team to create Multiphysics-based models that will be validated through experimental and field tests, including real-world data collection from natural gas pipelines.

In addition to your technical expertise, you will also apply advanced data analytics methods to classify spatial, temporal, and frequency-dependent features of optical fiber-based distributed sensing data. These models and data will be used to predict incipient failures, leveraging distributed optical fiber sensing, wireless sensor technologies, and other infrastructure monitoring tools, including subsurface systems.

This position offers opportunities to publish in high-quality peer-reviewed journals, present at national and international conferences, and contribute to the development of new intellectual property. Regular project reporting will be required, and strong communication skills are essential given the extensive interface with clients and collaborators.

The location for this position is at the NETL lab in Pittsburgh, PA. Only candidates near or willing to relocate to the Pittsburgh, PA area will be considered.

Primary Responsibilities:

  • Develop advanced physics-based models for gas pipeline failures, focusing on mechanical and structural integrity.
  • Utilize Computational Fluid Dynamics (CFD) for gas flow modeling and incorporate fluid-structure interaction (FSI) for comprehensive pipeline analysis.
  • Build digital twin models of natural gas pipelines for real-time monitoring and failure prediction.
  • Employ reduced order modeling, surrogate modeling, and physics-informed machine learning to enhance predictive capabilities.
  • Work with an interdisciplinary team to develop Multiphysics-based models and conduct field validation for data collection.
  • Apply advanced data analytics methods (PCA, neural networks, machine learning, big data analytics) to distributed sensing data.
  • Utilize optical fiber-based distributed sensing for predictive monitoring of gas pipeline infrastructure.
  • Engage in data analytics for wireless sensor technology platforms and subsurface monitoring.
  • Publish research in peer-reviewed journals and present at technical conferences.
  • Develop new intellectual property based on innovative research.
  • Provide regular project updates and reports to project managers and clients.

Required Education & Experience:

  • Masters degree in Mechanical Engineering, Applied Physics, Materials Engineering, Mathematics, Data Science, Computer Science, Electrical Engineering, or a related field, with 2+ years of relevant experience (PhD preferred).
  • Strong knowledge of multi-physics and finite element modeling for mechanical, structural, and gas flow analysis in pipelines.
  • Experience with Computational Fluid Dynamics (CFD) for gas flow modeling and fluid-structure interaction (FSI).
  • Experience with ANSYS multi-physics software platform or any other open-source modeling tools for CFD, FSI-related modelling.
  • Expertise in advanced data analytics methods, including AI, neural networks, machine learning, and big data analytics.
  • Proficiency with reduced order modeling, surrogate modeling, digital twin development, and physics-informed machine learning.
  • Experience with software such as ANSYS twinbuilder, NVIDIA modulus or any other related open-source software for digital twin building.
  • Familiarity with high-performance computing environments and Multiphysics modeling tools.
  • Excellent communication skills and the ability to work in an interdisciplinary team environment.

Salary Range: $100,000 - $110,000 per year, depending on qualifications and experience. Leidos is an Equal Opportunity Employer and welcomes applications from diverse candidates.



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