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Research Scientist

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Date: Apr 21, 2022

Location: Hsinshu, TW, 310

Company: Corning

Requisition Number: 49327



Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty 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 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.



Day to Day Responsibilities:

  • Propose and lead research projects/activities involving ML/DL evaluation and customization/optimization for different applications across Corning businesses; be responsible to understand problems from the customer's point of view and translate into data analytics solution and work plans,
  • Collaborate with internal customers across Corning organizations, design and perform model validation and testing, communicate technical analysis and results to internal customers,
  • Lead the delivery of basic and advanced ML/DL courses in the organization and provide technical consultancy to wide spectrum of users/groups within the company,
  • Establish and maintain external linkage with academic and industry partners to stay abreast in data driven technology for value-added deployment across Corning businesses,
  • Share and contribute Corning’s data analytics community of practice in developing the capabilities and promoting areas of applications,
  • 10-15% global travel is expected.


Required Education and Experience:

  • Master's Degree, with Ph.D. preferred, in Computer Science, Applied Mathematics, or related discipline of ML/DL,
  • 1+ years of relevant experience in ML/DL algorithm design and modeling OR
  • Established track record of technical achievements in ML/DL, as evidenced by publication in high-impact peer-reviewed media and patents.


Required skills:

  • Expert use of one or more ML/DL libraries like Tensor Flow, Keras, CNTK, Theano, SciKit-learn, Torch, etc.,
  • Strong background in ML/DL techniques (e.g. classification, various neural networks) and programming in Python,
  • Experience in image recognition/computer vision, and corresponding image processing for data preparation,
  • Experience in compiling and running code on high-performance computers,
  • Strong mathematical and programming skills for independently preparing data (ETL functions of cleaning, consolidating, transforming data) for ML/DL purposes,
  • Experience of using one or more Data Analytical tools including, but not limited to: JMP, MATLAB, R, Minitab, SAS,
  • Ability to bridge gaps between “domain” language (engineering, science) and “computing solution” language, including communicating and understanding the complex requirements from professional staffs during the solution development and deployment,
  • Outstanding English written, and verbal communication skills are required to facilitate direct interaction with Corning global multifunctional teams.


Desired skills:

  • Good command of Big Data systems and data engineering knowledge including NoSQL, Hive/Spark/MapReduce/Athena, etc.,
  • Proficiency in Statistical Methods including DOE, Hypothesis Testing, Inferential Statistics, ANOVA, Multivariate Analysis, Linear and Non-linear models and Regression Analysis,
  • Knowledge and understanding in Smart Manufacturing and physics-based modeling skills.


Soft Skills:

  • Scientific curiosity, ability and desire to learn new areas,
  • Established Project Leadership skills,
  • Excellent interpersonal and communication skills,
  • Enthusiastic and self-motivated,
  • Ability to work with multiple teams across organizational and regional boundaries,
  • Excellent planning and time management skills; ability to work simultaneously on multiple projects.