Materials Design & Modelling Engineer (Numerical Simulation)

Jobtailor

Stockholms kommun

On-site

SEK 520,000 - 760,000

Full time

14 days+
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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

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.

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