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9000000443 Requisition #
WDT THO materials Science Lab
Western Digital (Thailand)., Ltd
Western Digital®
The next big thing in data is you!

The Technologist in Computational Materials & Data Science requires an experienced and highly skilled candidate to function in cross-discipline engineering roles. The position is based in the Analytical & Characterization Engineering Department, but the candidate will cross multiple engineering departmental lines while developing both internal solutions to materials characterization challenges and implementing data structures for analyses that facilitate state-of-the-art supervised and unsupervised machine learning.

  • Develop algorithmic approaches to analyze complex and combinatorial data sets originating from a diverse array of materials characterization and metrology techniques.
  • Develop automated applications from the algorithmic analyses, which can be deployed both internally in the lab environment and externally to the engineering customers in design, development, NPI, and production.
  • Develop and implement data architecture and infrastructure to facilitate data mining and both supervised and unsupervised learning from vast and diverse physical characterization data repositories.
  • Master’s Degree with a major in materials science / engineering / or related field with directly relevant thesis topic
  • A minimum of 5 years’ experience in materials science or related field with a solid foundation in the following criteria
    • materials science and engineering
    • statistical learning techniques with both structured and unstructured data
  • Doctorate’s Degree with directly relevant thesis topic or similar post-doctoral experience with a solid foundation in the following criteria
    • materials science and engineering
    • statistical learning techniques with both structured and unstructured data
  • Advanced image processing with feature detection and classification experience would an additional benefit.
  • Experience and capability to interface with both local relational and distributed, cloud-based databases and sources is highly desirable.
  • Familiarity with Monte Carlo and other statistical simulation methods and their applications to materials synthesis problems would be beneficial but not required
  • Excellent command of the English language (written/verbal)
  • Competent in multiple programming domains for the development and implementation of algorithms, including but not limited to the following;
    • Python / MATLAB / R / JMP
The future. It’s on you. You & Western Digital.

We’ve been storing the world’s data for more than 50 years. Once, it was the most important thing we could do for data. Now we’re helping the world capture, preserve, access and transform data in a way only we can.

The most game-changing companies, consumers, professionals, and governments come to us for the technologies and solutions they need to capture, preserve, access, and transform their data.

But we can’t do it alone. Today’s exceptional data challenges require your exceptional skills. It’s You & Us. Together, we’re the next big thing in data.
Western Digital® data-centric solutions are found under the G-Technology™, HGST, SanDisk®, Tegile™, Upthere™, and WD® brands.  


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