ML-Driven XRD Analysis for Cutting Tool Materials

Swerim AB; Stockholms kommun; On-site; SEK 45,000 - 55,000; Full time

Job summary

Swerim AB is offering a master’s thesis position in Stockholm for a collaboration with Sandvik Coromant. The project aims to develop machine learning methods for automated and accelerated analysis of XRD data from cemented carbide grades and coatings.

The candidate will generate a database of simulated diffraction patterns and train models to identify phases and extract microstructural information, evaluating ML as a complement to traditional refinement workflows.

Qualifications

• Pursuing a Master’s degree in a relevant field with interest in machine learning and data-driven methods.
• Strong programming interest and ability to apply ML tools to materials science.

Responsibilities

• Develop ML approaches to analyze XRD data and identify phase constituents.
• Train models on simulated diffraction patterns and extract microstructural parameters.
• Contribute to development of high-throughput diffraction analysis tools.

Skills

Machine learning

Programming

Data-driven methods

Education

Master's degree in Materials Science, Engineering, Computer Science, Applied Physics, Data Science, or related field

Job description

Swerim AB is offering a master’s thesis position in Stockholm for a collaboration with Sandvik Coromant. The project aims to develop machine learning methods for automated and accelerated analysis of XRD data from cemented carbide grades and coatings.

The candidate will generate a database of simulated diffraction patterns and train models to identify phases and extract microstructural information, evaluating ML as a complement to traditional refinement workflows.