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Machine Learning Cfd Jobs in Oswego, IL (NOW HIRING)

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Machine Learning Cfd information

See Oswego, IL salary details

$10.5K

$88.5K

$125.5K

How much do machine learning cfd jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning cfd in Oswego, IL is $88,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $104,600.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Machine Learning Cfd jobs in Oswego, IL?

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What job categories do people searching Machine Learning Cfd jobs in Oswego, IL look for?

The top searched job categories for Machine Learning Cfd jobs in Oswego, IL are:

What cities near Oswego, IL are hiring for Machine Learning Cfd jobs?

Cities near Oswego, IL with the most Machine Learning Cfd job openings:

Machine Learning Cfd jobs near you
Infographic showing various Machine Learning Cfd job openings in Oswego, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $88,469 per year, or $42.5 per hour.

IMSA-SIR Developing Reduced-order Models for Predicting Aerodynamic Performance of Novel Wing Shapes

Argonne National Laboratory

Lemont, IL • On-site

Part-time

Posted 7 days ago

Job description

Internship Description
Background:
Computational fluid dynamics (CFD) is a widely utilized tool in Aerospace Engineering that can provide detailed information regarding aerodynamic performance; however, it is too costly to implement in real-time performance assessment. The use of data-driven surrogate models, which can be trained from CFD and experimental datasets, can be utilized for generation predictions for changes in the system. Additionally, these tools can be utilized for extracting complex dynamics into simpler representations which enable greater understanding and utilization. CFD simulations for various airfoil profiles have been performed and data characterizing their aerodynamic performance has been extracted. This dataset is available for developing surrogate models using machine learning and dynamical systems tools to provide predictions for off-design conditions, as well as inform potential geometries for optimal performance.
Description of Student Internship:
The flow over 2D airfoil profiles has been setup in the open-source software OpenFOAM. We will provide the structure for running simulations and post-processing the results using tools such as ParaView, as well as in-house python scripts. There is a small database of aerodynamic coefficients that has been collated for these airfoils for various operating conditions which is available for training data-driven surrogate models. The structure of the input and desired outcome of these models will be provided to the student, with the opportunity to explore various ML and related models for predictions of aerodynamic performance.
Education and Experience Requirements
Required skills:
Desired skills are a fundamental understanding of classical mechanics
Experience with aerodynamics is a plus
Interest in computing in Linux/Unix environments
Programming or interest to learn Python, Matlab
Interest in utilizing machine learning for engineering projects
Internship Family
Visiting Student High School Research
Internship Category
IMSA Student

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