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Model Predictive Control Jobs in New York (NOW HIRING)

New York University

POSTDOCTORAL RESEARCHER

New York, NY · On-site

$62K - $75K/yr

The successful candidate will conduct research on high frequency model predictive control using force feedback. In compliance with NYC's Pay Transparency Act, the annual base salary range for this ...

Reflex Robotics

Controls Engineer

New York, NY · On-site

$215K - $300K/yr

You have a good understanding of model predictive control, nonlinear optimization, sensor fusion strategies * You pride yourself on writing robust code that others can trust for years We primarily ...

Thea Energy

Senior Control Systems Engineer

Kearny, NJ · On-site

$95K - $160K/yr

Work with the AI/ML and Plasma Control teams to integrate predictive control and digital twin ... Strong proficiency with EPICS or TANGO control frameworks, Simulink and MATLAB for system modeling ...

Thea Energy

Senior Control Systems Engineer

Kearny, NJ · On-site

$95K - $160K/yr

Work with the AI/ML and Plasma Control teams to integrate predictive control and digital twin ... Strong proficiency with EPICS or TANGO control frameworks, Simulink and MATLAB for system modeling ...

NYULMC

Data Analyst - Model Credibility

New York, NY · On-site

... predictive modeling, or model-performance assessment. Experience with reproducible computational workflows, pipeline development, or data-engineering practices. Experience using Git/version control ...

RELX Group plc

Sr Statistical Modeler

Manhattan, NY · On-site +1

$125K - $209K/yr

Applies and integrates statistical, mathematical, predictive modeling and business analysis skills ... version control workflows. * Ability to independently execute complex analytical work within ...

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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 New York? For Model Predictive Control jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Model Predictive Control jobs? Cities in New York with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in New York as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution.
POSTDOCTORAL RESEARCHER

POSTDOCTORAL RESEARCHER

New York University

New York, NY • On-site

$62K - $75K/yr

Full-time

Posted 25 days ago

New York University rating

8.3

Company rating: 8.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

97th of 544 rated colleges and universities

Job description

Description
POSTDOCTORAL RESEARCHER
Machines in Motion Laboratory
New York University
The Machines in Motion laboratory at NYU Tandon School of Engineering is seeking to hire a Post Doctoral Researcher/Post Doctoral Associate to join an exciting project on model predictive control with force feedback. New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, hasthe distinct history of having been known previously as Brooklyn Poly and the NYU Polytechnic School of Engineering.
Candidates will be responsible for conducting scholarly research, writing papers, help mentor students and perform work in a multidisciplinary environment. The successful candidate will conduct research on high frequency model predictive control using force feedback.
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $62,500 to $75,000. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.
Tandon faculty and students are at the forefront of the high-tech start-up culture in New York City and have access to NYU's Global Network University. The NYU Tandon School of Engineering is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world.
Qualifications
We are seeking individuals with a strong background in model-predictive control and a publication track record in top robotics conferences and journals. Previous experience of numerical implementations of optimal control solvers for high frequency control of complex robots is necessary. We welcome applicants from recent PhDs and individuals seeking additional postdoctoral training. Eligible candidates will be required to present eligibility to work in the United States.
Application Instructions
Applicants should submit a complete CV, a research statement describing your interests, goals and how they related to our research, a complete list of publications, copies of up to three relevant scientific papers, and the names and contact information of three references (all as pdf). All application materials should be submitted electronically via interfolio.
Review of applications will begin as soon as possible and will continue until the position is filled.
Equal Employment Opportunity Statement
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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