Design and deploy predictive models, data pipelines, and statistical analyses to inform mission ... Working knowledge of Agile development methodologies and Git-based version control Clearance ...
Design and deploy predictive models, data pipelines, and statistical analyses to inform mission ... Working knowledge of Agile development methodologies and Git-based version control Clearance ...
Data Scientist
Aiea, HI · On-site
$141K - $236K/yr
Design and deploy predictive models, data pipelines, and statistical analyses to inform mission ... Working knowledge of Agile development methodologies and Git-based version control Clearance ...
Data Scientist
Aiea, HI · On-site
$141K - $236K/yr
Design and deploy predictive models, data pipelines, and statistical analyses to inform mission ... Working knowledge of Agile development methodologies and Git-based version control Clearance ...
Data Scientist
Aiea, HI · On-site
$141K - $236K/yr
Design and deploy predictive models, data pipelines, and statistical analyses to inform mission ... Working knowledge of Agile development methodologies and Git-based version control Clearance ...
Data Scientist
Aiea, HI · On-site
$141K - $236K/yr
Design and deploy predictive models, data pipelines, and statistical analyses to inform mission ... Working knowledge of Agile development methodologies and Git-based version control Clearance ...
Associate Electrical Engineer - Buildings
Honolulu, HI · On-site
$76K - $95K/yr
... access control, security, IT, and fire alarm in conformance with codes, standards, construction ... predictive models, spreadsheets, and tools. * Competent interpersonal and communication skills when ...
Associate Electrical Engineer - Buildings
Honolulu, HI · On-site
$76K - $95K/yr
... access control, security, IT, and fire alarm in conformance with codes, standards, construction ... predictive models, spreadsheets, and tools. * Competent interpersonal and communication skills when ...
Associate Electrical Engineer - Buildings
Honolulu, HI · On-site
$76K - $95K/yr
... access control, security, IT, and fire alarm in conformance with codes, standards, construction ... predictive models, spreadsheets, and tools. * Competent interpersonal and communication skills when ...
Associate Electrical Engineer - Buildings
Honolulu, HI · On-site
$76K - $95K/yr
... access control, security, IT, and fire alarm in conformance with codes, standards, construction ... predictive models, spreadsheets, and tools. * Competent interpersonal and communication skills when ...
Associate Electrical Engineer - Buildings
Honolulu, HI · On-site
$76.20 - $95.20/hr
... as communications, access control, security, IT, and fire alarm in conformance with codes ... industry‑standard technology, predictive models, spreadsheets, and tools. * Competent ...
Associate Electrical Engineer - Buildings
Honolulu, HI · On-site
$76.20 - $95.20/hr
... as communications, access control, security, IT, and fire alarm in conformance with codes ... industry‑standard technology, predictive models, spreadsheets, and tools. * Competent ...
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 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?
| Aspect | Model Predictive Control | Control Systems Engineer |
|---|---|---|
| Credentials | Engineering degree, control theory, process modeling | Engineering degree, control systems, automation |
| Work Environment | Industrial automation, process control, manufacturing | Design, develop, and maintain control systems across industries |
| Industry Usage | Process industries, chemical, oil & gas, manufacturing | Automation, 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 Hawaii?
For Model Predictive Control jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Hawaii look for?
The top searched job categories for Model Predictive Control jobs in Hawaii are:
ManTech rating
9.0
Based on 14 frontline employees who took The Breakroom Quiz
34th of 246 rated software companies
Job description
MANTECH seeks a mission-driven and innovative Data Scientist to join our team in Oahu, Hawaii. In this role you will support cutting-edge analytics, machine learning, and data engineering techniques to deliver strategic and tactical insights that enhance readiness, agility, and operational effectiveness. This role directly supports national defense priorities and partners with key mission stakeholders. Responsibilities include but are not limited to: * Design and deploy predictive models, data pipelines, and statistical analyses to inform mission decisions.
* Translate data into actionable intelligence for both technical and non-technical audiences, contributing to strategic and operational planning.
* Leverage AI/ML technologies to build models that support command objectives, including readiness assessments, resource optimization, and mission planning.
* Collaborate with multi-functional teams including data engineers, logisticians, and operations planners to deploy and refine ML models using Government MLOps platforms.
* Develop advanced data visualizations to enhance situational awareness and enable faster, informed decision-making in distributed environments.
* Document methodologies and processes to ensure reproducibility, knowledge sharing, and seamless transition across analytic teams.
* Support the integration of mission-enabling technologies including robotic process automation (RPA), natural language processing, and predictive analytics. Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
* 9+ years of relevant experience, including 4+ years leading data science initiatives and developing predictive models
* Proficiency in Python, R, or similar languages for statistical analysis and model development
* Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
* Skilled in data querying using SQL/NoSQL and working within cloud environments (AWS, Azure, or GCP)
* High School and 4 years of additional experience or Associate's Degree and 2 years of additional experience may be exchanged in lieu of a required Bachelor's degree Preferred Qualifications: * Master's or Ph.D. in a quantitative discipline
* Experience supporting Department of Defense and/or Intelligence Community missions
* Familiarity with geospatial tools such as ArcGIS or QGIS
* Experience with containerization (e.g., Docker) and DevSecOps pipelines
* Working knowledge of Agile development methodologies and Git-based version control Clearance Requirements: * Must hold an Active TS/SCI clearance. Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time.
* Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.
* Translate data into actionable intelligence for both technical and non-technical audiences, contributing to strategic and operational planning.
* Leverage AI/ML technologies to build models that support command objectives, including readiness assessments, resource optimization, and mission planning.
* Collaborate with multi-functional teams including data engineers, logisticians, and operations planners to deploy and refine ML models using Government MLOps platforms.
* Develop advanced data visualizations to enhance situational awareness and enable faster, informed decision-making in distributed environments.
* Document methodologies and processes to ensure reproducibility, knowledge sharing, and seamless transition across analytic teams.
* Support the integration of mission-enabling technologies including robotic process automation (RPA), natural language processing, and predictive analytics. Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
* 9+ years of relevant experience, including 4+ years leading data science initiatives and developing predictive models
* Proficiency in Python, R, or similar languages for statistical analysis and model development
* Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
* Skilled in data querying using SQL/NoSQL and working within cloud environments (AWS, Azure, or GCP)
* High School and 4 years of additional experience or Associate's Degree and 2 years of additional experience may be exchanged in lieu of a required Bachelor's degree Preferred Qualifications: * Master's or Ph.D. in a quantitative discipline
* Experience supporting Department of Defense and/or Intelligence Community missions
* Familiarity with geospatial tools such as ArcGIS or QGIS
* Experience with containerization (e.g., Docker) and DevSecOps pipelines
* Working knowledge of Agile development methodologies and Git-based version control Clearance Requirements: * Must hold an Active TS/SCI clearance. Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time.
* Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.
About ManTech
Sourced by ZipRecruiter
Industry
It services
Company size
5,001 - 10,000 Employees
Headquarters location
Herndon, VA, US
Year founded
1968