Adv. Controls Intern

Requisition Number: 76424

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 Display Technologies segment manufactures glass substrates for active matrix liquid crystal displays (“LCDs”) that are used primarily in LCD televisions, notebook computers and flat panel desktop monitors.

Scope of Position
•    Seeking a highly capable Control (or Data Analysis) Engineer (intern) for advancing our understanding of the advanced glass manufacturing processes.  Candidates must have a strong foundation in Advanced Control Theory and a high level of expertise in physical modeling.  This position requires excellent communication and interpersonal skills for working with cross-functional global teams and stakeholders.

Education and Experience (minimum required for consideration)
•    Ph.D. (preferred) or Master in Chemical, Mechanical, Software, Computer Science or Electrical Engineering discipline
•    Direct experience with data analysis, AI/ML, advanced controls technologies and/or first-principles/physics-based modeling

Required Skills (These are skills that candidates MUST possess)
•    Design and develop process controls solutions (especially model-based control techniques) for manufacturing processes. Develop appropriate hardware and software platforms for implementing control solutions.
•    Familiarity with optimization theory and controls technologies such as optimal control, robust control, adaptive control, model predictive control (MPC), non-linear approaches, and traditional PID control
•    Experience with developing data-driven (system identification) / physics-based models (finite element models, mass and energy balances, etc.) for manufacturing process optimization
•    Extensive knowledge of ML techniques/algorithms (e.g., neural networks, random forests, reinforcement learning, etc.) and their mathematical foundation
•    Proficient in Matlab/Simulink and working knowledge of Python, C/C++, .NET.

Desired Skills (These are skills that would be nice for candidates to possess) 
•    Background in multivariate statistics tools
•    Experience with real-time control systems, data acquisition, and data interpretation
•    Experience using machine learning packages such as Tensorflow/Keras, PyTorch, Scikit-Learn.
•    Ability to work in a manufacturing environment

Essential Non-Technical Skills (Communication/Team/Leadership)
•    Communication skills in a variety of situations – from gathering operator insight to stakeholder presentations
•    Collaboration across a multi-disciplinary group
•    Strong verbal and written skills
•    Excellent interpersonal skills
•    Ability to prepare and present presentations effectively

Responsibilities
•    Develop physics-based models of nonlinear, multivariable systems and subsequently embed the physics of those models into algorithms to control the system dynamics by utilizing advanced model-based control design techniques
•    Participate in the development of the digital platform, including AI knowledge bases (RAG) setup, frontend (VUE) and backend (Python/FastAPI) feature implementation
•    Utilize machine learning methods to develop process monitoring and fault detection tools and/or classification/regression models for solving important manufacturing problems, such as process monitoring, quality analytics, and predictive maintenance.
•    Work in a multi-disciplinary environment where there will be collaboration between process experts, data scientists, controls engineers, and modelers
•    Document technical findings and support invention disclosure activities as appropriate.

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.