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Model Predictive Control Jobs in Illinois (NOW HIRING)

Munich Re

Data Scientist, AI

Chicago, IL · 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, AI

Bloomington, IL · 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 ...

The Mutual Group

AVP, Actuarial Operations

Chicago, IL · On-site +1

... and predictive modeling across the organization. Working in close partnership with actuarial ... Establish governance, documentation, and control standards for actuarial models and analytical ...

SageSure

Lead Actuarial Analyst

Chicago, IL · On-site

You will develop and monitor predictive models, evaluate rate adequacy across states and segments ... Experience with version control and reproducible workflows preferred. * Demonstrated ability to ...

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $61K/yr

... predictive models, data-driven and AI solutions for laboratory, field engineering, and ... Exposure to cloud platforms (Azure preferred) and version control (Git/GitHub) is a plus. * Strong ...

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

... predictive models, data-driven and AI solutions for laboratory, field engineering, and ... Exposure to cloud platforms (Azure preferred) and version control (Git/GitHub) is a plus. * Strong ...

UL

Associate Data Scientist

Northbrook, IL · On-site

$60K - $61K/yr

... predictive models, data-driven and AI solutions for laboratory, field engineering, and ... Exposure to cloud platforms (Azure preferred) and version control (Git/GitHub) is a plus. * Strong ...

UNITE HERE HEALTH

Director of Analytics

Oak Brook, IL · On-site

$153K - $195K/yr

Baselines and control groups * Savings attribution methodologies * Ongoing performance tracking * Establish a standardized ROI and impact measurement model across all initiatives. Predictive ...

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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 Illinois? For Model Predictive Control jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Illinois look for? The top searched job categories for Model Predictive Control jobs in Illinois are:
What cities in Illinois are hiring for Model Predictive Control jobs? Cities in Illinois with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Simulation (Autonomy) Controls Test Engineer

Simulation (Autonomy) Controls Test Engineer

Hexagon

Mundelein, IL • On-site

$131K - $135K/yr

Full-time

Posted 22 days ago

Job description

Overview

Hexagon Autonomous Solutions is looking for Simulation (Autonomy) Controls Test Engineer to Support the onboard Autonomous Controls Team in product development of haulage vehicles.

The Company: Hexagon is a global leader in digital reality solutions, combining sensor, software, and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality, and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications. You'll be joining over 24,000 people in 50 countries on the leading edge of your field.  

This position is with Hexagon Autonomous Solutions, a global technology leader, pioneering end-to-end solutions industry leaders rely on for assured positioning and autonomy on land, sea, and air. Our work touches every aspect of life, from sustainability on Earth to enabling autonomy.

The Location:Hexagon is a global company with offices around the world. This position is based in Morton, Illinois.  Telecommuting within the US is permitted. Less than 5% domestic and international travel.

Responsibilities

As our Simulation (Autonomy) Controls Test Engineer, you would be responsiblefor:

  • Supporting the onboard Autonomous Controls Team in product development of haulage vehicles in the area of vehicle motion control.
  • Using Simulink, TruckSim, and proprietary software to simulate vehicle response of long-haul heavy vehicles using various controllers.
  • Collaborating with the controls team to tune and modify PID, LQR, MPC, and other controllers using a simulation environment.
  • Updating and verify plant models using data from the field.
  • Generating tests, test plans, and reports of iterative simulations.
  • Identifying opportunities and develop automation for the simulation and report generation environment
Qualifications

Minimum Requirements:    

  • Master's degree or foreign equivalent in Automotive Engineering or related field
  • Three (3) years of experience as a Software Engineer, Simulation/Autonomy Controls Test Engineer, or related occupation.
  • Experience with TruckSim or CarSIM;
  • Experinece with Simulink
  • Experience with vehicle controls development and tuning: PID (Proportional-Integral-Derivative) Controller, LQR (Linear Quadratic Regulator), MPC (Model Predictive Control);
  • Experience designing comprehensive test plans: automated and manual tests
  • Experience with entire control system structure and deep root cause analysis.

If you require any special accommodation, please email our team athrrecruitingteam.ap@hexagon.com and we will be pleased to follow up with you. Please do not send cover letters or resumes to this address. 

The Company: Hexagon is a global leader in digital reality solutions, combining sensor, software, and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality, and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications. You'll be joining over 24,000 people in 50 countries on the leading edge of your field.  

This position is with Hexagon Autonomous Solutions, a global technology leader, pioneering end-to-end solutions industry leaders rely on for assured positioning and autonomy on land, sea, and air. Our work touches every aspect of life, from sustainability on Earth to enabling autonomy.

EOE/F/M/Vet/Disabled 

Click on the links below to learn more about Equal Employment Opportunity. EEO Know Your Rights 

EEO Employee Rights 

EEO Pay Transparency 

Applicants that require accommodation in the job application process may contact Human Resources for assistance at (310) 782 -1076 ext.: 134. 

We are an E-verify participating employer. Click on the links below for more information about E-Verify and your right to work. 

E-Verify Participation 

E-Verify Right to Work 

Salary: $131,500 - $135,000 per year

Apply online at https://hexagon.com/about/careers Or, send resume to:  hrrecruitingteam.ap@hexagon.com

Ref: 00080318

Employment Type: FULL_TIME

Apply