Development Engineer – Materials Design and Modelling

Sandvik Coromant; Stockholms kommun; Presencial; SEK 520.000 - 760.000; Jornada completa

Descripción de la vacante

Jobtailor in Sweden seeks a researcher to develop, validate and apply advanced numerical models to support R&D decisions. You will build data structures for simulation parameters, outputs and metadata and apply FEM/DFT and statistical modeling to analyze material behavior and processes.

You will contribute to digitalization through model integration, automation and data‑driven approaches and collaborate with experts across R&D, production, quality and application to drive outcomes.

Formación

• MSc or PhD in Engineering, Physics, Materials Science, Applied Mathematics or similar
• Strong expertise in numerical modeling and simulation, such as FEM, DFT or related methods
• Experience in statistical analysis, data management and handling large datasets
• Programming skills in tools such as Python, SQL, MATLAB or similar environments
• Proven ability to connect models with experimental data and physical understanding

Responsabilidades

• Develop, validate and apply advanced numerical models to support R&D decision-making
• Build and manage data structures for simulation parameters, outputs and metadata
• Apply methods such as DFT, FEM and statistical modeling to analyze material behavior and processes
• Contribute to digitalization through model integration, automation and data‑driven approaches
• Collaborate with experts across R&D, production, quality and application

Conocimientos

Numerical modeling

Data analysis

Model-data integration

Programming in Python/SQL/MATLAB

Educación

Master's or PhD in Engineering/ Physics/ Materials Science/ Applied Mathematics

Herramientas

Python

SQL

MATLAB

Descripción del empleo

Responsibilities

• Develop, validate and apply advanced numerical models to support R&D decision-making
• Build and manage data structures for simulation parameters, outputs and metadata
• Apply methods such as DFT, FEM and statistical modeling to analyze material behavior and processes
• Contribute to digitalization through model integration, automation and data‑driven approaches
• Collaborate with experts across R&D, production, quality and application

Requirements

• MSc or PhD in Engineering, Physics, Materials Science, Applied Mathematics or similar
• Strong expertise in numerical modeling and simulation, such as FEM, DFT or related methods
• Experience in statistical analysis, data management and handling large datasets
• Programming skills in tools such as Python, SQL, MATLAB or similar environments
• Proven ability to connect models with experimental data and physical understanding