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Machine Learning Cfd Jobs in Worcester, MA (NOW HIRING)

Worcester Polytech

Research Scientist

Worcester, MA

$50K - $60K/yr

  • Retirement

The successful candidate will contribute to research that combines CFD modeling, primarily using ANSYS Fluent and OpenFOAM, with laboratory-based measurements and Machine Learning (AI). We are ...

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Machine Learning Cfd information

See Worcester, MA salary details

$11K

$92.8K

$131.7K

How much do machine learning cfd jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning cfd in Worcester, MA is $92,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $109,800.00 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 Worcester, MA?

For Machine Learning Cfd jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Cfd jobs in Worcester, MA look for?

The top searched job categories for Machine Learning Cfd jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Machine Learning Cfd jobs?

Cities near Worcester, MA with the most Machine Learning Cfd job openings:

Machine Learning Cfd jobs near you
Infographic showing various Machine Learning Cfd job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,812 per year, or $44.6 per hour.

Research Scientist

Worcester Polytechnic Institute

Worcester, MA • On-site

$50K - $60K/yr

Full-time

Retirement

Posted 14 days ago

Job description

JOB TITLE
Research Scientist
LOCATION
Worcester
DEPARTMENT NAME
Civil, Environmental, & Architectural Engineering - NFR JM
DIVISION NAME
Worcester Polytechnic Institute - WPI
JOB DESCRIPTION SUMMARY
The Department of Civil, Environmental, and Architectural Engineering at Worcester Polytechnic Institute invites applications for a research scientist in Indoor Airflow, Ventilation, and CFD position beginning in Fall 2026 or Spring 2027.
The position will focus on indoor airflow, ventilation, air distribution, indoor environmental quality, and computational fluid dynamics (CFD). The successful candidate will contribute to research that combines CFD modeling, primarily using ANSYS Fluent and OpenFOAM, with laboratory-based measurements and Machine Learning (AI).
We are especially interested in applicants with strong CFD experience and an interest in applying modeling and AI tools to real building and indoor environmental problems. Prior experience with laboratory experiments, airflow measurements, ventilation studies, or CFD validation is desirable, but candidates with strong CFD backgrounds and willingness to develop experimental skills are also encouraged to apply.
JOB DESCRIPTION
Minimum qualifications include:
  • Ph.D. in Architectural Engineering, Mechanical Engineering, Civil Engineering, Environmental Engineering, Aerospace Engineering, or a related field

  • Strong research experience with CFD, preferably ANSYS Fluent

  • Knowledge of fluid dynamics, heat transfer, and turbulence modeling

  • Programming skills for data analysis, model development, or simulation workflows

  • A record of peer-reviewed publications related to CFD, indoor environments, ventilation, or related areas

  • Ability to work independently and collaboratively

Preferred qualifications include:
  • Experience with indoor airflow, ventilation, HVAC, or air distribution modeling

  • Experience with laboratory measurements or experimental validation

  • Familiarity with Ansys Fluent and other CFD tools (e.g., OpenFOAM)

  • Interest in indoor air quality, thermal comfort, or building environmental performance

To apply: Please include a CV and two relevant published papers. Questions should be directed to Dr. Shichao Liu at sliu8@wpi.edu. Please use the subject line:
Research Scientist- Indoor Airflow CFD
Applications will be reviewed on a rolling basis until the position is filled.
Salary: $50,000 - $60,000. per year. Salary is based on related experience, expertise, and internal equity. WPI's benefits package includes a robust retirement match, wellness perks, tuition assistance and more!
FLSA STATUS
United States of America (Exempt)
WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

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