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TOD Controls Engineer

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Date: Nov 24, 2022

Location: Wuhan, HB, CN, 430040

Company: Corning

Day to Day 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
  • Utilize machine learning methods to develop process monitoring and fault detection tools and/or classification/regression models for solving important manufacturing problems, such as defect classification, predictive maintenance, etc.
  • Build/develop supervisory control layer for calculating optimal setpoints for process control in a manufacturing system; this will require coordinating and synchronizing the existing physics-based/first-principles models to provide an overall plant process view
  • Develop in-depth knowledge of Corning processes to build technical understanding for key process steps by using rigorous scientific knowledge on flow, mass/heat transfer, magnetic and electric fields
  • Lead project teams and work closely with process engineers to implement/deliver advanced control solutions and potentially other advanced process technologies
  • Work in a multi-disciplinary environment where there will be collaboration between process experts, data scientists, controls engineers, and modelers
  • Generate intellectual property through technical reports, invention disclosures, and patent applications


Education & Experiences

  • Ph.D. or Masters (+3 years of manufacturing experience) in Chemical, Mechanical or Electrical Engineering discipline
  • Direct experience with data analysis, machine learning (ML), advanced controls technologies and/or first-principles/physics-based modeling


Required Skills

  • Evaluate existing process control strategies and propose and develop enhancements. Utilize multivariate statistical methods and machine learning for process monitoring, fault diagnosis and isolation, defect classification, and/or predictive maintenance
  • Design and develop process controls solutions (especially model-based control techniques) for manufacturing processes. Work closely with manufacturing to 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, etc.) and their mathematical foundation
  • Proficient in Matlab/Simulink and working knowledge of Python, C/C++, .NET.
  • Must have: (1) a thorough understanding of relevant scientific concepts, principles, and theory, particularly relating to general machine learning and algorithms and fundamental physics principles; (2) experience demonstrating broad application of those concepts in real-world settings.


Desired Skills

  • Skills that can be demonstrated in PLC and IEC based programming (ladder, structured text)
  • Background in multivariate statistics tools, such as principal component analysis (PCA) and partial least squares (PLS) regression
  • Experience with real-time control systems, data acquisition, and data interpretation
  • Experience using machine learning packages such as Tensorflow/Keras, PyTorch, Scikit-Learn.
  • Experience with formal language models (finite state automaton (FSA), Petri net, Symbolic model, etc.), graph theory and finite abstraction
  • Ability to work in a manufacturing environment


Soft skills

  • Project 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
  • Functions well on projects and team initiatives as well as independent assignments
  • Strong technical curiosity with desire to take on challenging technical problems