Intern - Computational Chemistry

ASM International

Leuven, Belgium
On-site
Python programming and jupyter notebooks
Dft simulation experience
Machine learning library knowledge
This internship focuses on building structure-property relationships for smart precursor discovery to support future AI projects

Job Summary

  • This internship focuses on building structure-property relationships for smart precursor discovery to support future AI projects.
  • Candidates will gain hands-on experience running DFT calculations and developing predictive models using Python-based workflows.
  • The role offers close collaboration with ASM corporate R&D and Chemistry Innovation teams within a diverse global environment.

Matching Summary

This internship focuses on building structure-property relationships for smart precursor discovery to support future AI projects.

Skills & Requirements

Must-have

  • Python programming and Jupyter notebooks
  • DFT simulation experience
  • Machine learning library knowledge
  • Molecular structure data curation
  • Descriptor calculation and analysis

Nice-to-have

  • Interest in AI-driven materials discovery
  • Strong analytical problem-solving skills
  • Collaborative team culture fit
  • Experience with literature data collection

Key Requirements

  • Master's student or PhD candidate in Chemistry or related field
  • Hands-on experience with Python and scientific libraries
  • Understanding of computational chemistry workflows

Work Rights

Not specified

Tailored Resume

Cover Letter