Data Scientist Intern: Physics-Informed Machine Learning Model Development

2 weken geleden


IJmuiden, Noord-Holland, Nederland Tata Steel Voltijd

Develop a physics-informed machine learning model for predicting mechanical properties of rolled steel products.

Key Responsibilities:

  • Combine physics-based models with data-driven approaches to improve predictive accuracy.
  • Investigate alternative fitting models for individual steel grades and monitor model fit quality.
  • Compare non-linear modeling techniques against current linear regression models to enhance model performance.

Requirements:

  • Master's student in data science with a strong background in programming languages such as C++, SQL, and Python.
  • Familiarity with physical sciences and a passion for data-driven decision making.
  • Excellent problem-solving skills and ability to work independently.

What We Offer:

  • A challenging and instructive internship with good supervision.
  • A clear assignment designed in advance to meet the requirements of your college/university.
  • The opportunity to gain valuable experience within a large organisation and the Netherlands' only steel manufacturing industry.

Work Environment:

The project will be conducted within the R&D department of Tata Steel Ijmuiden, with great opportunities for networking and being closely involved in future developments.



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