MEMS Thermal & Electro-Thermal Simulation Engineer

Qplox engineering; Vlaams-Brabant; On-site; EUR 60,000 - 90,000; Full time

Job summary

Join an innovative R&D environment focused on advanced device simulation, where multiphysics modelling, MEMS device analysis, and thermal/electro-thermal modelling drive design optimization. You will work with COMSOL and other FE tools to predict performance and guide experiments, translating findings into actionable engineering insights.

We seek candidates with strong analytical skills and the ability to collaborate across multidisciplinary teams, contributing to AI-driven modelling workflows

Qualifications

• Master's degree or PhD in Electrical Engineering, Mechanical Engineering, or Physics (engineering background preferred).
• Experience with COMSOL Multiphysics or equivalent FE software.
• Knowledge of thermal and electro-thermal modeling and MEMS devices.
• Understanding of microfabrication processes, experimental validation, and data analysis.
• Strong analytical and problem‑solving skills; able to collaborate across multidisciplinary R&D teams.

Responsibilities

• Develop and optimize 2D and 3D multiphysics models using COMSOL or equivalent tools.
• Implement temperature-dependent properties and physics-based thermo/electro-thermal models.
• Simulate and analyze MEMS devices; predict performance under real operating conditions.
• Validate models against experimental data and translate results into design insights.
• Support technology development, design optimization, and AI-driven modelling workflows.

Skills

Multiphysics modeling

Thermal modelling

Data analysis

Analytical problem solving

Collaboration across teams

Education

Master's degree or PhD (EE/ME/Physics)

Tools

COMSOL Multiphysics

Finite element software

Job description

Join an innovative R&D environment focused on advanced device simulation, where multiphysics modelling, MEMS device analysis, and thermal/electro-thermal modelling drive design optimization. You will work with COMSOL and other FE tools to predict performance and guide experiments, translating findings into actionable engineering insights.

We seek candidates with strong analytical skills and the ability to collaborate across multidisciplinary teams, contributing to AI-driven modelling workflows