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Model Predictive Control Jobs in Brighton, TN (NOW HIRING)

... control, and status reporting with clear key performance indicators, value realization, and ... Orchestrating cross-functional teams and vendors across onshore and offshore models; aligning ...

Perform preventive and predictive maintenance on schedule to ensure equipment uptime. This includes ... Install new pneumatic and electronic instruments and control systems. This includes adjustment ...

Perform preventive and predictive maintenance on schedule to ensure equipment uptime. This includes ... Install new pneumatic and electronic instruments and control systems. This includes adjustment ...

Model Predictive Control information

See Brighton, TN salary details

$50.4K

$88.5K

$120K

How much do model predictive control jobs pay per year?

As of Aug 1, 2026, the average yearly pay for model predictive control in Brighton, TN is $88,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $98,900.00 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 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 cities near Brighton, TN are hiring for Model Predictive Control jobs? Cities near Brighton, TN with the most Model Predictive Control job openings:
Infographic showing various Model Predictive Control job openings in Brighton, TN as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $88,478 per year, or $42.5 per hour.

Faculty Position - Department of Epidemiology and Cancer Control, Data Science

St. Jude Children's Research Hospital

Memphis, TN • On-site

$57K - $57K/yr

Full-time

Re-posted 10 hours ago


St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

40th of 1,054 rated hospitals


Job description

SJCRH
The Department of Epidemiology and Cancer Control at St. Jude Children's Research Hospital is recruiting an innovative data scientist to join our multidisciplinary team advancing research in childhood cancer survivorship as a Faculty Member at the FULL, ASSOCIATE, or ASSISTANT level. We are looking for a scholar to apply state-of-the-art computational methods to extract insights from high-dimensional, multimodal health data and develop predictive and integrative models that transform survivorship care.
Our Department's mission is to conduct cutting-edge clinical, biological, and population-health research, and translate findings into effective strategies to avert or mitigate cancer-treatment-related complications and improve the quality of life of childhood cancer survivors. We are seeking a creative and collaborative data scientist to lead a vibrant research program at the intersection of data science and clinical/biological sciences.
We actively collaborate across Cancer Center Programs, engaging with both clinic- and laboratory-based researchers to advance clinical care and knowledge of childhood cancer and associated late effects. Our research leverages diverse and complex data streams, including:
  • Time-series and cross-sectional sensor data from wearable devices
  • Image and video-based phenotyping for functional assessments
  • Multi-omics (whole genome/whole exome sequencing, RNA-seq, methylation, proteomics/metabolomics, CHIP) and biomarker profiles from biological samples
  • Physiological signals such as EKG
  • Longitudinal clinical, functional, and behavioral assessments
  • Usability evaluation
  • Geographical and spatiotemporal data on environmental and socioeconomic context

Ideal expertise/experience includes:
  • Advanced machine learning (deep learning, representation learning, probabilistic modeling)
  • Natural language processing and large language models for extracting, structuring, and modeling high-dimensional, unstructured clinical notes, patient-reported narratives, and speech-derived phenotypes
  • AI-driven approaches for multimodal data integration and predictive analytics
  • Computational pipelines for large-scale biomedical datasets
  • Interest in causal inference, risk stratification, and precision medicine
  • Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature engineering)
  • Experience applying pretrained foundation models or self-supervised learning approaches to biomedical data
  • AI agents for orchestrating multi-stream data integration, real-time analytics, and decision-support workflows in survivorship research

Our department is home to both the Childhood Cancer Survivor Study with over 38,000 childhood cancer survivors diagnosed from 1970-1999 in North America, and the St. Jude Lifetime Cohort with over 6,000 clinically assessed childhood cancer survivors treated at St. Jude Children's Research Hospital since 1962. These foundational studies are funded by the National Cancer Institute (NCI) and are unparalleled resources for research, with comprehensive characterizations of cancer treatment exposures/doses.
Our department encompasses a strong T32 Postdoctoral program, >130 staff members who supports maintaining and expanding activities of the two cohort studies and many ongoing R01- equivalent projects which are built on the two cohort studies. Apply
Join us in the exciting, rewarding mission of improving lives of childhood cancer survivors through rigorous, cutting-edge research that has strong institutional support and commitment!
St. Jude Children's Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic diseases of childhood. We are the first and only National Cancer Institute (NCI)-designated Comprehensive Cancer Center devoted solely to children and have been recognized with the highest possible ranking of "exceptional" in our two most recent five-year reviews by the NCI. Our mission is to advance research and cures for pediatric cancer, the number one cause of death by disease for U.S. children past infancy. St. Jude is a highly interactive environment offering its faculty a remarkable opportunity to perform cutting-edge independent and collaborative research while receiving long-term institutional support past start-up to facilitate innovation and discovery.
We value different perspectives and intellectual discourse. We are committed to building an intellectually diverse community. St. Jude is consistently ranked on Fortune Magazine's "100 Best Places to Work For" and is No. 9 on the 2018 Glassdoor "Best Place to Work" list for companies with 1,000 or more employees.
St. Jude is located in the heart of Memphis, Tennessee, a vibrant and friendly city at the historic American crossroads of music, trade, food, and culture. Mild winters and beautiful green outdoor spaces are part of the reasons why Forbes recently named Memphis the 4th happiest city in which to work. Cost of living and high quality of life are other attractions; in fact, Money magazine listed Memphis as one of the least expensive cities in which to raise a child. St. Jude facilities and salaries are highly competitive, and a generous start-up and benefit packages are included.
Learn more about us at www.stjude.org.
Successful applicants must hold a PhD or equivalent degree in the field of data science, have at least three years of relevant postgraduate experience, and have a proven track record of productivity.
How to Apply:
Interested applicants should submit a curriculum vitae AND a 2-3 page summary of research interests directly online.
More information:
Gregory T. Armstrong, MD, MSCE
Chair, Epidemiology and Cancer Control
St. Jude Children's Research Hospital
262 Danny Thomas Place, MS 735
Memphis, Tennessee, 38105
greg.armstrong@STJUDE.ORG
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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