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Model Predictive Control Jobs in Cincinnati, OH (NOW HIRING)

Munich Re

Data Scientist

Amelia, OH · On-site

We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...

Munich Re

Data Scientist

Cincinnati, OH · On-site +1

We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...

Munich Re

Data Scientist

Amelia, OH · On-site +1

We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...

ADVICS

Maintenance Technician

Lebanon, OH · On-site

By utilizing the Just-In-Time production model we are able to identify and solve problems ... Perform basic preventive/predictive maintenance. * Participates in improvement activities.

Munich RE

Data Scientist

Cincinnati, OH · On-site

We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...

Munich RE

Data Scientist

Amelia, OH · On-site

We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...

Laborup

Maintenance Technician

Sharonville, OH · On-site

$38 - $43/hr

You'll help shape maintenance culture, drive CMMS accuracy, develop preventive/predictive programs ... model safe work practices and ensure consistent compliance across the team. Requirements Required

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Model Predictive Control information

See Cincinnati, OH salary details

$52.8K

$92.7K

$125.7K

How much do model predictive control jobs pay per year?

As of Aug 31, 2026, the average yearly pay for model predictive control in Cincinnati, OH is $92,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,100.00 and $103,600.00 per year, depending on experience, location, and employer.

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What are popular job titles related to Model Predictive Control jobs in Cincinnati, OH?

For Model Predictive Control jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Model Predictive Control jobs in Cincinnati, OH look for?

The top searched job categories for Model Predictive Control jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Model Predictive Control jobs?

Cities near Cincinnati, OH with the most Model Predictive Control job openings:

Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $92,660 per year, or $44.5 per hour.

2027 Chemical Engineer Intern/Co-op

Cincinnati, OH • On-site

LyondellBasell Industries
Chemical Manufacturing • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

37th of 101 rated chemical manufacturers

People enjoy working here

Good employer

Paid breaks

Learn more about LyondellBasell Industriesexternal

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Posted 3 days ago

New

Job description

Chemical EngineerCo-op/Intern

Are you an ambitious engineering student eager to gain hands-on experienceina global industry leader? Do you thrive in a creative team environment where your ideas can drive real-world impact? If so, LyondellBasell has the perfect opportunity for you!

Why You'll Love This Role:

As a Chemical EngineerCo-op/Intern,you'llhave the chance to dive deep into the engineering world, working on projects that enhance plant safety, environmental performance, and profitability. Whetheryou'reoptimizingday-to-day operations or developing groundbreaking innovations, your contributions will be instrumental in shaping our success.

What You Can Expect:

We offer a range of exciting opportunities across various engineering disciplinesduring the spring summer and fall terms, allowing you to explore and develop your skills:

Production Engineer:

  • Focus on the day-to-day operation and optimization of an existing unit.

  • Identifyand implement improvements to plant safety, environmental, and profitability performance.

Process Engineer:

  • Evaluate and develop major projectsand debottlenecks.

  • Serve as a technical resource for the corporation.

  • Develop and improve systems tomaintainexcellent process safety and environmental performance.

Control System Engineer:

  • Develop,optimize, and troubleshoot advanced control schemes.

  • Create and refine process models used in predictive control systems.

Research and Development Engineer:

  • Provide technical support to our polyolefin customers through visits and internal or external fabrication trials.

  • Drive innovation by developing new materials and processes.

What We Offer:

  • Real-world experience in a leading global company.

  • Mentorship from experienced professionals.

  • Opportunities to contribute to significant projects.

  • A collaborative and innovative work environment.

Qualifications We're Looking For:

  • Currently pursuing a Bachelor's degree in Chemical Engineering, or an equivalent degree from an accredited university.

  • Overall GPA of 3.0 or greater.

  • Must be at least 18 years of age.

  • Must be legally authorized to work in the United States without requiring sponsorship for employment visa status.

If you're ready to apply your skills and learn from industry leaders, we want to hear from you. Apply today and take the first step in your engineering career with LyondellBasell!

About LyondellBasell:

LyondellBasell is a leader in the global chemical industry, creating solutions for everyday sustainable living. Through advanced technology and focused investments, we are enabling a circular and low-carbon economy. As one of the world's largest producers of polymers and a leader in polyolefin technologies, we develop, manufacture, and market high-quality and innovative products for applications ranging from sustainable transportation and food safety to clean water and quality healthcare.

Equal Opportunity Employer:

LyondellBasell is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, and other protected characteristics.

Ready to embark on an exciting journey with us? Apply now and help shape the future of sustainable living!

For more information, visitwww.lyondellbasell.comor follow us on LinkedIn @LyondellBasell.

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