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Technologist, Development Engineering

Location: Phra Nakhon Si Ayutthaya, 14, Thailand 
Req ID: 9000000443


Western Digital®
We deliver the possibilities of data. YOU define what’s possible.

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 critera
    • 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


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