Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in speciality glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.
Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.
Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses.
We anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise. We partner with Corning’s businesses and the Science & Technology division. Together we create and sustain Corning’s manufacturing as a differential advantage.
Job Opening at Corning Incorporated
Job Title: Senior Controls Scientist \ Senior Controls Engineer
About Corning Incorporated
Corning is a Fortune 500 company and the world leader in specialty glass, ceramics, and high-technology manufacturing. We create and make keystone components that enable products for consumer electronics, mobile emissions control, telecommunications, and life sciences. Corning succeeds through sustained investment in R&D, utilizing over 150 years of material science, process engineering, and manufacturing knowledge, and a distinctive, collaborative culture. To learn more please visit us at www.corning.com.
Ph.D. in Chemical or Mechanical Engineering with 3+ years’ experience and a background in process control systems engineering and an emphasis on multivariate statistical process modeling and control
The applicant will be expected to lead their own projects and work in a multi-disciplinary research, development, and engineering environment to identify opportunities for advanced controls and execute through design, development and implementation in manufacturing. The candidate will need to determine challenges, value propositions, and write proposals to initiate control projects; propose and define project objectives, scope, timeline, and deliverables and seek and identify resources to meet project needs. The candidate will be responsible for measurements and control systems strategy development for new and existing manufacturing processes. The successful candidate will be able to use fundamental process analysis in addition to extensive data analysis and experimentation to provide system understanding leading to control design. She/he will also be tasked with identifying measurements and sensor specifications required for process controls. To achieve the same, the ability to collaborate with process experts and other disciplines such as modeling and instrumentation will often be required. The candidate will design and develop innovative advanced control solutions to meet technical challenges and implement solutions for R&D and manufacturing processes. This will be done by leveraging optimization techniques to improve process performance and efficiency and utilizing advanced controls skills to implement solutions such as linear/nonlinear controls, model predictive control, intelligent control, and supervisory controls. The candidate will generate intellectual property through appropriate technical reports, invention disclosures, and patent applications. As part of their responsibilities the candidate may be expected to participate in process control development as part of a Smart Manufacturing initiative. This will require the ability to work in cross-functional teams innovating advanced sensing, controls, modeling (physical/first principles and empirical), new visualization techniques and cloud computing environments to develop and improve new and existing manufacturing processes, respectively.
- Expertise in system identification technology and multivariate statistical process control including principle component analysis and other machine learning methods applied to process control
- Expertise in real-time optimization, model-predictive, and other model-based control methods
- Experience mining large data sets and identifying process control opportunities
- Ability to identify measurements and instrumentation technology needed for control
- The candidate must have experience leading multi-disciplinary technical teams
- Must be a self-starter with strong interpersonal skills and the ability to sell technical ideas and initiatives
- Experience using programming, simulation, and tools such as Matlab/Simulink, Simca, R, Python, C++/C#
- Strong understanding of process quality improvement methodologies such as Six Sigma
- Strong knowledge of system dynamics theory
- Knowledge of process monitoring and fault detection technology a plus
Up to 20% travel may be required including international.
Req #: 2901