Development Engineer – Materials Design and Modelling

Jobtailor; Stockholms kommun; On-site; SEK 520,000 - 760,000; Full time

Job summary

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.

Qualifications

• 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

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

Skills

Numerical modeling

Data analysis

Model-data integration

Programming in Python/SQL/MATLAB

Education

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

Tools

Python

SQL

MATLAB

Job description

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