ZipRecruiter

Log In

1

Predictive Maintenance Phd Jobs (NOW HIRING)

onsemi

Sr. Manager, Global Ops AI Product Owner

San Jose, CA · On-site

$148K - $195K/yr

... predictive maintenance, and demand forecasting. • Translate business objectives into clear ... Required : • Master's or PhD degree in Engineering, Computer Science, Data Science, Business, or ...

Corva

Senior Data Scientist

Houston, TX · On-site

Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Engineering, or ... Experience building deep learning models for anomaly detection, predictive maintenance, or time ...

next page

Showing results 1-20

All JobsPredictive Maintenance Phd Jobs

Predictive Maintenance Phd information

See salary details

$12

$31

$56

How much do predictive maintenance phd jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for predictive maintenance phd in the United States is $31.57, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $38.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Predictive Maintenance PhD, and why are they important?

To excel as a Predictive Maintenance PhD, you need advanced knowledge in data analysis, machine learning, and reliability engineering, typically backed by a doctorate in engineering or a related quantitative field. Expertise with statistical software (such as Python, R, or MATLAB), industrial IoT platforms, and condition monitoring systems is highly valued. Strong problem-solving abilities, effective communication, and the capacity to collaborate with multidisciplinary teams set top candidates apart. These competencies enable accurate failure predictions and optimal maintenance strategies, minimizing downtime and maximizing asset performance.

What is the difference between Predictive Maintenance Phd vs Maintenance Engineer?

AspectPredictive Maintenance PhdMaintenance Engineer
Required CredentialsPhD in Engineering, Data Science, or related fieldBachelor's or Master's in Engineering or related field
Work EnvironmentResearch labs, corporate R&D, or specialized analytics teamsIndustrial plants, manufacturing facilities, or maintenance departments
Industry UsageFocus on developing predictive models, algorithms, and researchImplementing maintenance strategies, troubleshooting, and equipment upkeep

Predictive Maintenance Phd professionals typically focus on research, developing advanced predictive models, and data analysis, often working in labs or R&D settings. Maintenance Engineers apply these insights in real-world industrial environments, performing maintenance tasks and ensuring equipment reliability. While both roles require technical knowledge, the Phd emphasizes research and development, whereas Maintenance Engineers focus on practical application and operational maintenance.

What are some common challenges faced by Predictive Maintenance PhDs when implementing machine learning models in industrial environments?

Predictive Maintenance PhDs often encounter challenges such as dealing with heterogeneous and sometimes incomplete datasets, ensuring the reliability of sensor data, and integrating machine learning models with existing legacy systems. Another common hurdle is the need to balance model complexity with interpretability for non-technical stakeholders. Collaboration with cross-functional teams, including maintenance engineers and IT specialists, is essential to ensure that predictive solutions are both technically robust and practically actionable on the shop floor.

What is a Predictive Maintenance PhD?

A Predictive Maintenance PhD refers to an individual who has earned a doctoral degree specializing in predictive maintenance, which is a field focused on using data analysis, machine learning, and statistical methods to predict equipment failures before they occur. This expertise is valuable in industries like manufacturing, transportation, and energy, where minimizing downtime and optimizing maintenance schedules are crucial. Professionals with this background develop advanced algorithms and research new techniques to improve maintenance strategies and increase operational efficiency. Their work often involves interdisciplinary knowledge in engineering, data science, and computer science.
Infographic showing various Predictive Maintenance Phd job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $65,662 per year, or $31.6 per hour.
Sr. Engineer, Advanced Process Controls

Sr. Engineer, Advanced Process Controls

Corning

Painted Post, NY

$82K - $108K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

79th of 516 rated manufacturers

Job description

Requisition Number: 75271

The company built on breakthroughs. ​  
Join us.​                    

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​  

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​   

Come break through with us.  

Corning’s businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with: 

  • Trusted products that accelerate drug discovery, development, and delivery to save lives
  • Damage-resistant cover glass to enhance the devices that keep us connected
  • Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
  • Precision glass for advanced displays to deliver richer experiences 
  • Auto glass and ceramics to drive cleaner, safer, and smarter transportation 
  • Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions
Role Purpose

MT&E is seeking an Advanced Process Controls Engineer who believes cutting-edge controls, optimization, and machine learning (ML) can transform manufacturing and deliver competitive advantage. This is one of the most versatile technical roles at Corning, with broad scope across our businesses. The field is evolving from traditional single-input/single-output control toward complex multi-input/multi-output problems that call for model-based strategies, most notably model predictive control (MPC), and large-scale numerical optimization for production planning, scheduling, and ware flow. Corning is also investing in machine learning for process monitoring, fault detection, defect classification, and predictive maintenance

Key Responsibilities
  • Design, develop, and implement controls solutions for manufacturing processes within multi-disciplinary teams.
  • Evaluate existing control strategies and propose enhancements, from PID improvements (cascade, feedforward, gain-scheduling, loop pairing) to model-based algorithms such as MPC and internal model control (IMC).
  • Develop and maintain MPC-based solutions across the organization.
  • Build and improve large-scale optimization models (LP, NLP, MILP) for production planning and scheduling, translating business and process logic into objectives and constraints.
  • Partner with manufacturing to define appropriate hardware and software platforms and implement solutions in existing PLC/DCS environments.
  • Work with subject matter experts and apply data analytics and ML to deepen process understanding and surface control or optimization opportunities.
  • Apply multivariate statistics and ML to fault diagnosis and isolation, defect classification, and predictive maintenance.
  • Lead projects in a research, development, and engineering environment; write proposals to initiate new work.
  • Facilitate transfer of new technologies into manufacturing and train manufacturing and engineering personnel.
  • Generate intellectual property through technical reports, invention disclosures, and patents.
Travel Requirements
  • Must be available for significant travel, primarily domestic, to multiple locations to support business needs. International travel could be required as well. Travel up to 25%
Experiences/Education - Required
  • M.S. or PhD in Electrical, Mechanical, or Chemical Engineering (or a related field) with coursework in Advanced Controls, Optimization, or Data Analytics. PhD highly preferred
  • 1–5 years of industry experience on manufacturing processes. New graduates with related internship experience will be considered.
Required Skills
  • Working knowledge of process control technologies, including MPC and PID; practical PID loop tuning experience.
  • Controls-oriented modeling and system identification.
  • Grounds control design in process first principles (heat/mass transfer, fluid dynamics, kinetics).
  • Foundation in numerical optimization (LP, NLP, MILP, convex optimization) and ability to formulate problems from business and process logic.
  • Programming experience in MATLAB/Simulink and Python.
  • Familiarity with ML classification and regression techniques.
  • Strong problem-solving skills; clear written and verbal communication for technical and non-technical audiences.
  • Comfortable working in a manufacturing environment.
  • Self-directed and collaborative; delivers on commitments.
Desired Skills
  • Hands-on experience implementing, tuning, and maintaining MPC.
  • Experience with large-scale optimization solvers (e.g., Gurobi) and modeling languages (Pyomo, AMPL, PuLP).
  • Multivariate statistical process control methods such as PCA and PLS regression.
  • Experience operationalizing ML-driven models in manufacturing.
  • Git and version control.
  • Experience in or leading cross-functional and global teams.
  • Strong technical curiosity and appetite for hard technical problems.

This position supports immigration sponsorship.

The range for this position is $88,834.00 - $122,148.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

A job that shapes a life.  

Corning offers you the total package.  

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.  
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.

What Corning employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply