Requisition Id10522 Level: RP04 Overview: The Advanced Computing Methods for Engineered Systems Section within the Computational Sciences & Engineering Division (CSED) at the Oak Ridge National Laboratory (ORNL) is seeking to hire Senior Computational Scientists to lead two similar groups the Scalable Engineering Applications group and the Multiphysics Modeling and Flows group.These organizations reside within the Oak Ridge National Laboratory's Computing and Computational Sciences Directorate which conducts state-of-the-art research and development in computing and computational sciences in support of DOE's missions and programs.

The Staff Mechanical Engineer will lead computational fluid dynamics (CFD) design project teams to create world class designs for new projects, alterations and redevelopments on a variety of projects including power, process, corporate, healthcare, pipeline, airports, institutional, industrial, manufacturing, government and military facilities.

The Research Engineer (will) will work closely with the Principal Investigator (PI) on coastal hydrodynamics and wave-structure interaction, which includes both laboratory experiments and numerical modelling with Computational Fluid Dynamics approach. The project will mainly focus on the rough surface structures and flexible structures in the coastal regions.

A challenging opportunity exists in our Burnaby, BC facility for a Junior Research Scientist with a strong background in fluid mechanics and computational methods. The successful candidate will engage in advanced research and development projects over a wide range of industrial sectors and technologies.

We are looking for a research fellow who will conduct direct numerical simulations. He/She will also work on the machine-learning-aided flow control to manipulate the simulated flow.

Requisition Id10499 Overview: The Oak Ridge National Laboratory (ORNL) is one of the nations largest multi-program science and technology laboratories within the U.S. Department of Energy (DOE).The Enrichment Science and Engineering Division (ESED) at ORNL is tasked with advancing enrichment technologies and exploring stable isotope production and application.

Substantial experience in Computational Fluid Dynamics and high-performance computing.

This project is to develop data-driven machine learning-based approximate models, which can replace the time consuming CFD simulations. The proposed work aims to provide proof of concept, methodology to develop machine learning models and its applicability in tasks such as flow flied prediction over variable geometries and geometrical optimization.

This project is to develop data-driven machine learning-based approximate models, which can replace the time consuming CFD simulations. The proposed work aims to provide proof of concept, methodology to develop machine learning models and its applicability in tasks such as flow flied prediction over variable geometries and geometrical optimization.

Requisition Id10499 Overview: The Oak Ridge National Laboratory (ORNL) is one of the nations largest multi-program science and technology laboratories within the U.S. Department of Energy (DOE).The Enrichment Science and Engineering Division (ESED) at ORNL is tasked with advancing enrichment technologies and exploring stable isotope production and application.

Requisition Id10491 Overview: The Oak Ridge National Laboratory (ORNL) is one of the nations largest multi-program science and technology laboratories within the U.S. Department of Energy (DOE).The Enrichment Science and Engineering Division (ESED) at ORNL is tasked with advancing enrichment technologies and exploring stable isotope production and application.

We are seeking an intermediate to senior level modelling engineer for our team in the optimization of the technology through computational hydraulic (plus mass transfer and chemical reaction) studies with comparisons to bench scale and pilot scale data. You will be responsible for selecting suitable and adaptable platforms in CFD based software with necessary hardware to efficiently aid in fast paced process and mechanical technology developments.

Applicants should hold a PhD in a numerate physical science discipline, or have equivalent research experience, and have demonstrable specialist expert knowledge in either experimental or computational fluid dynamics.

This project is to simulate fluid flows by using quantum machine learning techniques. The work will involve the building of neural networks for simulation of fluid flows and quantum computing in fluid mechanics.

We are looking for a highly motivated and passionate post-doctoral research fellow to work on a funded research project that looks into mixed-mode ventilation in the tropics. The aim of the research is to develop a real-time occupant centric sensing and control strategy that optimizes total building performance for mixed-mode ventilation in the tropics. The post-doctoral research fellow will be supervised by the principal investigator Dr. Adrian Chong from the Department of Building, School of Design and Environment, National University of Singapore.

Requisition Id10499 Overview: The Oak Ridge National Laboratory (ORNL) is one of the nations largest multi-program science and technology laboratories within the U.S. Department of Energy (DOE).The Enrichment Science and Engineering Division (ESED) at ORNL is tasked with advancing enrichment technologies and exploring stable isotope production and application.

ESED is currently seeking a Computational Fluid Dynamics (CFD) expert to develop a novel computational architecture capable of simulating the complex behavior of fluids at all scales. A successful candidate will collaborate with computer scientists and experimental facilities to develop verified models initially focused on enrichment technologies.

The Applied Electromagnetics Division of Applied Research Associates, Inc. (ARA) in Dayton, OH is seeking a talented and team-oriented Senior Computational Research Scientist to provide innovative solutions to advanced and complex physical problems. The successful candidate will perform R&D of advanced numerical algorithms in computational electromagnetics (CEM), computational acoustics, and computational fluid dynamics.

We are looking for a highly motivated and passionate post-doctoral research fellow to work on a funded research project that looks into mixed-mode ventilation in the tropics. The aim of the research is to develop a real-time occupant centric sensing and control strategy that optimizes total building performance for mixed-mode ventilation in the tropics. The post-doctoral research fellow will be supervised by the principal investigator Dr. Adrian Chong from the Department of Building, School of Design and Environment, National University of Singapore.

Requisition Id10491 Overview: The Oak Ridge National Laboratory (ORNL) is one of the nations largest multi-program science and technology laboratories within the U.S. Department of Energy (DOE).The Enrichment Science and Engineering Division (ESED) at ORNL is tasked with advancing enrichment technologies and exploring stable isotope production and application.