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Model Predictive Control Phd Jobs (NOW HIRING)

Covestro

Senior APC Engineer

Baytown, TX · On-site

$95.10K - $130.70K/yr

... Advanced Regulatory Control and Model Predictive Control) as well as projects to develop ... PhD in Chemical or Electrical Engineering or related degree with 1+ years' experience * The ...

Covestro AG

Principal APC Engineer

Baytown, TX · On-site

... Model Predictive Control) as well as projects to develop and maintain operator training systems ... PhD in Chemical or Electrical Engineering or related degree with 2+ years' experience * The ...

Covestro

Principal APC Engineer

Baytown, TX

... Advanced Regulatory Control and Model Predictive Control) as well as projects to develop ... PhD in Chemical or Electrical Engineering or related degree with2+ years' experience * The ...

Covestro AG

Senior APC Engineer

Baytown, TX · On-site

$95.10K - $130.70K/yr

... Model Predictive Control) as well as projects to develop and maintain operator training systems ... PhD in Chemical or Electrical Engineering or related degree with 1+ years' experience * The ...

Cypress HCM

Control Systems Engineer

Irvine, CA

$200K - $250K/yr

... and model predictive control. * Develop simulation models (e.g., MATLAB/Simulink) to validate ... Or a PhD or equivalent in an Engineering or Scientific field with a minimum of 8 years of ...

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How much do model predictive control phd jobs pay per year?

As of Jun 2, 2026, the average yearly pay for model predictive control phd in the United States is $96,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $108,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Predictive Control PhD, and why are they important?

To thrive as a Model Predictive Control (MPC) PhD, you need advanced knowledge in control theory, optimization, and applied mathematics, typically supported by a doctoral degree in engineering or a related field. Expertise in simulation software (like MATLAB/Simulink), programming languages (such as Python or C++), and familiarity with real-time control systems is essential. Strong analytical thinking, problem-solving, and effective communication skills help distinguish top candidates in both academic and industry settings. Mastery of these technical and soft skills ensures the ability to develop, implement, and communicate sophisticated control solutions for complex, real-world systems.

What are the typical research and collaboration opportunities available to a Model Predictive Control PhD candidate during their studies?

As a Model Predictive Control PhD candidate, you will often collaborate with multidisciplinary teams, including faculty advisors, postdoctoral researchers, and industry partners. Research opportunities may include working on advanced control algorithms for real-world systems such as robotics, automotive, or energy applications. Many programs encourage publishing in peer-reviewed journals and presenting at conferences, which helps build your professional network. Additionally, you may have the chance to contribute to grant-funded projects, mentor undergraduate students, and participate in workshops or internships related to control systems.

What is a Model Predictive Control (MPC) PhD?

A Model Predictive Control (MPC) PhD is a doctoral program focused on advanced research in model predictive control, a type of control algorithm extensively used in engineering, robotics, and process industries. Students in this program typically develop new theories, algorithms, or applications for MPC, contributing to areas such as optimization, real-time systems, or autonomous systems. The program involves substantial coursework, original research, and the completion of a dissertation under faculty supervision. Graduates are prepared for careers in academia, industry research, or advanced engineering roles.

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

AspectModel Predictive Control PhdControl Systems Engineer
Required CredentialsPhD in Control Engineering or related fieldBachelor's or Master's in Engineering or related field
Work EnvironmentResearch, academia, or R&D departmentsIndustry, manufacturing, or automation sectors
Industry UsageDeveloping advanced control algorithms, research projectsImplementing control solutions, system design

The Model Predictive Control Phd typically focuses on research and development of advanced control algorithms, often in academic or R&D settings, requiring a PhD. Control Systems Engineers work in industry, applying control principles to real-world systems, often with a bachelor's or master's degree. Both roles involve control theory but differ in scope, environment, and experience level.

Infographic showing various Model Predictive Control Phd job openings in the United States as of May 2026, with employment types broken down into 10% Internship, 85% Full Time, and 5% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $96,574 per year, or $46.4 per hour.
Advanced Process Control Engineer

Advanced Process Control Engineer

Linde Group

Tonawanda, NY

Other

Posted 21 days ago

Job description

  • In this role you will support the development, implementation, and maintenance of advanced process control applications in air separation, carbon dioxide, and hydrogen production facilities
  • Collaborate with senior APC engineers, Regional Optimization Center, and operations teams to enhance process stability, energy efficiency, and plant performance
  • You will assist in controller performance monitoring, plant data analysis, model updates, and troubleshooting of APC applications
  • Gain exposure to industrial model predictive control, fuzzy logic control, and real-time optimization technologies
  • Contribute to productivity and optimization initiatives

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