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Model Predictive Control Jobs in Pennsylvania (NOW HIRING)

Sr. R&D Engineer

Cheswick, PA ยท On-site

$95K - $123K/yr

Deep understanding of process control methodologies such as feedback, feedforward, model predictive control, inferential control, etc. * Excellent understanding of optimization methods such as LP, QP ...

Sr. R&D Engineer

Cheswick, PA ยท On-site

$95K - $131K/yr

Deep understanding of process control methodologies such as feedback, feedforward, model predictive control, inferential control, etc. * Excellent understanding of optimization methods such as LP, QP ...

... predictive accuracy, and influence product development. You will also apply optimization methods ... Produce advanced model that capture multi-physics coupling, material nonlinearity, and complex ...

... predictive accuracy, and influence product development. You will also apply optimization methods ... Produce advanced model that capture multi-physics coupling, material nonlinearity, and complex ...

Research Engineer, World Models

Pittsburgh, PA ยท On-site +1

$155K - $269K/yr

Model distillation - Collaborate closely with Research Scientists to translate cutting-edge model ... You have built and deployed generative or predictive models of the physical world, focusing on ...

Research Engineer, World Models

Pittsburgh, PA ยท On-site +1

$155K - $269K/yr

Model distillation - Collaborate closely with Research Scientists to translate cutting-edge model ... You have built and deployed generative or predictive models of the physical world, focusing on ...

Research Scientist, World Models

Pittsburgh, PA ยท On-site +1

$155K - $269K/yr

Model distillation. - Collaborate with engineers to integrate models into large-scale, distributed ... You have built generative or predictive models of the physical world with scale and efficiency in ...

... predictive accuracy, and influence product development. You will also apply optimization methods ... S. export control regulations (i.e., U.S. citizen or lawful permanent resident) to comply with ...

... predictive accuracy, and influence product development. You will also apply optimization methods ... S. export control regulations (i.e., U.S. citizen or lawful permanent resident) to comply with ...

... control strategies.Integrate data science and machine learning with physics-based models to ... model execution, improve predictive accuracy, and enable rapid scenario screening.Collaborate ...

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Model Predictive Control information

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 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 are the typical challenges faced by engineers working with Model Predictive Control (MPC) 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 (MPC) 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 are popular job titles related to Model Predictive Control jobs in Pennsylvania? For Model Predictive Control jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Pennsylvania look for? The top searched job categories for Model Predictive Control jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Model Predictive Control jobs? Cities in Pennsylvania with the most Model Predictive Control job openings:

Sr. R&D Engineer

Vitro Flat Glass

Cheswick, PA โ€ข On-site

$95K - $123K/yr

Full-time

Posted 29 days ago


Job description

Vitro Architectural Glass manufactures a broad range of industry-leading, energy-efficient products such asSolarban,SungateandStarphire Ultra-Clearglasses. Throughout our storied history, collaboration and innovation have been central to our advancements. Today, the key to our success continues to lie in the strength of our partnerships. With a foundation formed on trust, teamwork and shared excitement, the possibilities for impactful innovations in glass are truly endless.

With manufacturing facilities throughout the U.S. and Mexico, Vitro Architectural Glass is committed to sustainable manufacturing processes and products. Vitro also operates one of the world's largest glass research and development facilities in Pittsburgh, PA and has four residential glass fabrication plants in Canada.

Website: www.vitroglazings.com

The Process Engineering and Process Control group in Vitro Architectural Glass R&D is currently looking for a Research Scientist with a "can-do" attitude to lead technology development in process modeling, design, and control for next generation glass manufacturing. This position is located at our Glass Technology Center in Cheswick, PA which is a ~25-min drive away from downtown Pittsburgh.

Responsibilities:

  • Responsible for further developing known and new technologies from conceptualization to commercialization
  • Conduct technology scouting, originate ideas for productive research, and initiate new projects with internal/external resources
  • Develop concept papers, proposals, and project documents as well as present research findings in meetings to the audience from diverse backgrounds
  • Assist in project planning and management to ensure timely execution and deliverables
  • Propose and evaluate process improvements through modeling, optimization, and data analysis
  • Coordinate closely with different groups across R&D, Engineering, and Manufacturing
  • Define project safety specifications and develop strategic direction for safety, health and environmental role in research and development
  • Up to 30% time of travel may be required for project launch and execution

Qualifications:

  1. Ph.D. in Chemical Engineering, Mechanical Engineering, or other relevant STEM fields plus 2 years of experience in industry or research environment
  2. Deep understanding of process control methodologies such as feedback, feedforward, model predictive control, inferential control, etc.
  3. Excellent understanding of optimization methods such as LP, QP and NLP
  4. Hands-on experience in using commercial software and/or open-source codes to perform CFD simulations, heat transfer analysis, and process modeling, etc.
  5. Fundamental knowledge of combustion process, melting process, and electrochemistry
  6. Excellent written and verbal communication skills; ability to write white papers and full grant proposals
  7. Computer programming capabilities in at least one language or environment such as C++, Python, MATLAB, etc.
  8. Strong initiative and ability to identify opportunities for new processes, technologies, and continuous improvement
  9. Demonstrated ability to work autonomously and as an integral part of a team with minimal oversight

Preferred:

  • Knowledge of glass production processes and equipment
  • Knowledge of technology and strategies to reduce energy usage and emissions in industrial processes
  • Experience with DCS and PLC control systems
  • Prior mentoring experience