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Internship Opportunity in Computational Materials Science

ASM InternationalBelgium > Leuven
On-site Internship

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Experience Level

Entry Level

Qualifications

This internship is ideal for students pursuing degrees in materials science, chemistry, physics, or related fields. Candidates should have a basic understanding of computational methods and programming experience in Python. Strong analytical and problem-solving skills are essential.

About the job

 

Embark on an innovative journey with ASM, where groundbreaking technology intertwines with a collaborative spirit.

For more than 55 years, ASM has led the charge in technological advancements, playing a pivotal role in shaping the future of fields such as 5G, cloud computing, AI, and autonomous vehicles. Our diverse team of over 4,500 professionals from 70 nationalities not only drives innovation but also champions diversity, inclusion, and sustainability, making a positive global impact. Our tailored development programs are designed to nurture your growth, empowering you to push the boundaries of innovation.

Internship Overview: Computational Materials Science Intern (Leuven, Belgium)

 

About the Internship

We invite students with a passion for computational materials science, data analytics, and AI-driven research to apply for this internship. The focus of this role is to develop structure–property relationships that accelerate the discovery of new materials, as well as preparing datasets and workflows for future AI initiatives in advanced semiconductor research.

 

Learning Objectives:

  • Master the art of building and managing a machine-readable materials library.
  • Gain insights into key descriptors and their impacts on electronic and physical properties.
  • Acquire hands-on experience in computational materials science processes and data-driven modeling.
  • Utilize Python-based tools for data analysis and modeling (e.g., Jupyter notebooks).
  • Investigate the fusion of computational chemistry tools with data-driven property predictions.

 

Primary Responsibilities:

  • Construct or source bulk structures for ALD-related systems using online databases and internal specifications.
  • Compile and categorize literature data regarding electronic and physical properties.
  • Engage in data pre-processing and feature engineering/extraction.
  • Conduct descriptor calculations and evaluate their correlations with target properties.
  • Perform DFT calculations to enhance database information.
  • Devise and optimize predictive models for property estimation.
  • Document workflows and contribute to the internal knowledge base for AI-related projects.

About ASM International

ASM International is a world-leading provider of innovative semiconductor manufacturing equipment and solutions. With a commitment to advancing technology while fostering an inclusive culture, ASM is dedicated to shaping the future of material science and semiconductor technology.

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