Research Scientist: Multiphysics FEM for Materials

Vtt-Technical-Research-Centre-of-Finlan; Espoo; On-site; EUR 55,000 - 90,000; Full time

Benefits offered by this job

6 weeks paid holidays

Access to state-of-the-art facilities

Job summary

VTT Technical Research Centre of Finland seeks a Research Scientist specialized in FEM to advance multiscale, multiphysics modelling of wood and bio-based materials. You will combine finite-element methods with data-driven approaches and experimental observations, working in the ProperTune Soft Condensed Materials team across international collaborations.

You will contribute to model calibration, parameter identification, and uncertainty analysis, leveraging high-performance computing and

Qualifications

• MSc or PhD in Computational Mechanics, Materials Science, Civil/Mechanical Eng.
• Strong FE, multiphysics, and PDE solving expertise.
• Experience with wood or bio-based materials, composites, or porous materials.

Responsibilities

• Develop computational models for moisture transport, heat and mass transfer, and degradation in bio-based materials.
• Implement and validate finite-element and multiphysics formulations.
• Integrate model parameters from molecular simulations, imaging data, and lab observations.
• Calibrate models and assess uncertainty to improve predictive capability.
• Analyze data and collaborate with experimental and ML researchers.
• Use HPC environments and develop reusable scientific workflows.
• Contribute to open modelling tools, publications, and international projects.

Skills

Finite-element modelling

Computational multiphysics

Python or Julia

C++ or MATLAB

Uncertainty analysis

Multiscale modelling

Education

MSc or PhD in Computational Mechanics / Materials Science / Civil or Mechanical Engineering

Tools

Python

Julia

MATLAB

C++

Job description

VTT Technical Research Centre of Finland seeks a Research Scientist specialized in FEM to advance multiscale, multiphysics modelling of wood and bio-based materials. You will combine finite-element methods with data-driven approaches and experimental observations, working in the ProperTune Soft Condensed Materials team across international collaborations.

You will contribute to model calibration, parameter identification, and uncertainty analysis, leveraging high-performance computing and