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Machine Learning Cfd Jobs in Washington (NOW HIRING)

Naval Architect

Silver Spring, MD · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Washington, DC · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Arlington, VA · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Mclean, VA · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Reston, VA · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Annandale, VA · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Kensington, MD · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Potomac, MD · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Bowie, MD · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Washington, DC · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Washington, DC · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Fairfax, VA · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Laurel, MD · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Davidsonville, MD · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Upper Marlboro, MD · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Lorton, VA · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

College Park, MD · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Fort Washington, MD · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

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Showing results 1-20

Machine Learning Cfd information

What is a machine learning CFD?

Machine Learning CFD (Computational Fluid Dynamics) jobs focus on integrating machine learning techniques with traditional fluid dynamics simulations and analyses. Professionals in this field use AI and data-driven models to accelerate simulations, improve prediction accuracy, and optimize fluid flow processes. These roles often require knowledge of both CFD principles and machine learning algorithms, and are commonly found in industries such as aerospace, automotive, and energy. Typical responsibilities include developing surrogate models for simulations, automating data analysis, and implementing deep learning approaches for complex flow problems.

How does a machine learning CFD professional typically collaborate with domain experts and software engineers in a project setting?

As a Machine Learning CFD (Computational Fluid Dynamics) professional, you’ll frequently collaborate with domain experts such as mechanical or aerospace engineers to ensure your models accurately reflect physical phenomena. You’ll also work closely with software engineers to integrate machine learning algorithms into simulation pipelines and optimize computational performance. Effective communication is key, as you’ll need to translate complex data-driven insights into actionable engineering solutions and vice versa. These collaborative efforts help streamline workflows, improve model accuracy, and ensure practical deployment of ML-enhanced CFD tools.

What is the difference between Machine Learning CFD vs Data Scientist?

AspectMachine Learning CFDData Scientist
Required CredentialsDegree in Engineering, Computer Science, or related fields; knowledge of CFD softwareDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentEngineering firms, aerospace, automotive industries, research labsBusiness, finance, tech companies, research institutions
Industry UsageSimulation, fluid dynamics, engineering analysisData analysis, predictive modeling, business insights

Machine Learning CFD focuses on applying machine learning techniques to computational fluid dynamics simulations, often within engineering contexts. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming skills and a strong analytical background, Machine Learning CFD emphasizes simulation and engineering applications, whereas Data Scientists focus on data-driven decision-making across diverse sectors.

What are the key skills and qualifications needed to thrive as a machine learning CFD engineer, and why are they important?

To thrive as a Machine Learning CFD Engineer, you need a strong background in fluid dynamics, numerical methods, and machine learning, often supported by a degree in engineering, physics, or computer science. Familiarity with CFD software (such as ANSYS Fluent or OpenFOAM), programming languages like Python or C++, and machine learning frameworks (TensorFlow or PyTorch) is essential. Critical thinking, problem-solving, and effective communication are standout soft skills for interpreting data and collaborating on interdisciplinary teams. These competencies are crucial for developing innovative solutions that enhance simulation accuracy and computational efficiency in engineering projects.
What are popular job titles related to Machine Learning Cfd jobs in Washington? For Machine Learning Cfd jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Machine Learning Cfd jobs in Washington look for? The top searched job categories for Machine Learning Cfd jobs in Washington are:
What cities in Washington are hiring for Machine Learning Cfd jobs? Cities in Washington with the most Machine Learning Cfd job openings:

Postdoctoral Fellow (PREP0004401)

Johns Hopkins University

Gaithersburg, MD • On-site

$53K - $72K/yr

Full-time

Re-posted 12 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

184th of 615 rated colleges and universities


Job description

Description
PREP Research Associate
CHIPS Funded Project.

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title:
Digital Twins for Atomic Layer Deposition Processes
The work will entail:
The Chemical Sciences Division of the National Institute of Standards and Technology (NIST) is seeking a postdoctoral researcher to join a multi-disciplinary team of scientists working on advanced modeling of atomic layer deposition (ALD) processes. The project will develop a suite of in situ metrology tools to quantify mass transport processes occurring during thermal ALD. Metrology data will support the development of computational fluid dynamics (CFD) and machine learning (ML) models of transport and surface reaction processes, with the ultimate goal of producing validated digital twins for thermal ALD processes. The project team includes experts in vapor phase deposition processes, in situ optical metrology, micro-electromechanical system (MEMS) design, numerical modeling, and machine learning. NIST maintains unique facilities for the development and application of fast and sensitive in situ diagnostics for vapor phase deposition processes. Multiple research-grade ALD systems dedicated to oxide, metal, and sulfide film deposition are available, as well as optical measurements spanning the UV and mid-IR wavelengths tailored for surface and gas-phase processes.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
• Operating and maintaining multiple ALD system and custom in situ optical setups
• Performing temporally- and spatially-resolved optical measurements during ALD
• Using and analyzing optical process data to validate transport models
• Publishing findings in peer-reviewed scientific journals and presenting at conferences
Qualifications
• Hands-on expertise in the design and assembly of research-grade ALD reactors
• Expertise in building and maintaining custom lab instrumentation
• Expertise in vapor phase deposition processes such as ALD
• Safe operation and maintenance of ALD systems
• Operation of in situ process diagnostics, including custom optical setups
• Knowledgeable in vapor transport mechanisms, precursor chemistry, and process development/optimization applicable to ALD
• Ph.D. or equivalent experience in chemistry, physics, materials science, or related field
• Strong written and oral communication skills
• Ability to work as part of a team and independently
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
Self portraits
Phone number
Home address/Country
Citizenship status
Languages spoken
Sex/Gender
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876