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Materials Informatics Engineer

Fracta Leap株式会社

  • Python
  • Machine Learning
  • Data Analysis
  • Data Science
  • Data Collection
  • Algorithm
  • Visualization
  • Materials Informatics
  • Data-based optimization
  • Work Location Tokyo
  • Company employee count 11 to 100

Company Info

Fracta Leap is engaged in the development and sales of water treatment equipment and systems for solving water infrastructure issues. We conduct product development related to the installation and systematization of water treatment plant equipment and systems, and implement product development related to water treatment plant operation and maintenance, and system requirements for the entire water treatment plant and its stockyard. We also implement water treatment plant engineering for the realization of water treatment plant engineering from planning to manufacturing, and the development of water treatment plant-related products.

Job Summary

In the position to be recruited, we will conduct research and development projects related to materials informatics and product development, data collection, analysis, and visualization, and apply machine learning and data science methods to optimize the design of new materials and processes, and work on issues related to the optimization of product design and development. In addition, we will also consider the possibility of reference to overseas projects, especially in the development of global expansion.

Duties

We will conduct research and development projects related to materials informatics and product development, data collection, analysis, and visualization, and make strategic statements towards achieving the goals of product development, and apply machine learning and data science methods to optimize the design of new materials and processes, and work on issues related to the optimization of product design and development, and collaborate with team members and related departments to support the smooth progress of projects.

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Materials Informatics Engineer

Fracta Leap株式会社

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