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IoT & Virtual Modelling Expert

Job in 9200, Drachten, Friesland, Netherlands
Listing for: Versuni
Full Time position
Listed on 2026-05-14
Job specializations:
  • Engineering
    AI Engineer, Robotics, Data Science Manager
  • Research/Development
    Robotics, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 EUR Yearly EUR 60000.00 80000.00 YEAR
Job Description & How to Apply Below
About

The Role
As an IoT & Virtual Modeling Expert you will join our Disruptive Innovation team, accelerating the digital transformation of next‑generation connected domestic appliances. This role combines research, simulation, and intelligent system modeling to unlock data‑driven insights and future‑ready product architectures.

You will pioneer the development of digital twins, create simulation automation workflows using Python, and apply advanced tools like Ansys and Siemens NX to model multi‑domain appliance behavior enabling physics‑based insights—thermal, fluid, mechanical, and beyond. Your work will empower early‑stage design evaluation, performance trade‑offs, and virtual validation, accelerate development cycles and reduce the need for physical prototypes, reimagining smart, sustainable appliances for tomorrow’s homes.

The Impact You’ll Make

Lead research and development of digital twin frameworks integrating physics‑based simulation, IoT data, and analytics for predictive insights.

Develop, implement, and maintain simulation frameworks (FEM, CFD, system‑level modelling, analytical calculations) to support early product design and pre‑development using Python scripting for tool orchestration, parameter studies, and data processing.

Use Ansys (Twin Builder, Fluent) and Siemens NX (Simcenter, Mechatronics Concept Designer) to simulate and analyze multi‑physics, control, and connectivity systems to predict product behavior and inform design decisions.

Conduct system‑level analyses, trade‑off and feasibility studies across product categories.

Translate engineering and physics requirements into simulation tasks, collaborating closely with pre‑development and testing teams.

Build re‑usable tools & co‑simulation environments linking MATLAB/Simulink, Modelica, Streamlit applications and custom Python pipelines to enable integrated virtual validation.

Support innovation and concept projects by providing simulation‑driven insights and virtual prototypes.

Evaluate emerging IoT and virtual modeling technologies to advance digital innovation capabilities.

Collaborate across mechanical, design, and engineering teams to translate simulation insights into intelligent system design.

Establish and maintain digital validation workflows that connect virtual models with real‑world data feedback from smart devices.

Document and communicate research findings, frameworks, and best practices to foster digital innovation culture within the team.

The Skills And Knowledge You’ll Bring

Master’s or PhD in (Applied) Physics, Electrical, Mechanical or Mechatronics Engineering (focus on system modeling or simulation).

5+ years of experience in IoT systems research, digital twins, or mechatronic system simulation and automation.

Advanced proficiency in Ansys Twin Builder/Fluent/Mechanical, Siemens NX Simcenter, Comsol, Python, Modelica and scripting for simulation automation (Python, MATLAB).

Experience building Python pipelines for simulation workflow automation, data management, or model‑based analytics.

Strong understanding of IoT architectures, sensor data integration, and edge‑cloud synchronization.

Analytical mindset with proven ability to connect complex simulation results to real product and user insights.

Multidisciplinary understanding of thermal, fluid, structural/mechanical physics.

Proven ability to link simulation to real product requirements.

Preferred Qualifications

Experience in connected consumer devices, smart systems, or advanced home appliance development.

Knowledge of AI‑driven surrogate modeling, reduced‑order modeling, or reinforcement learning for control optimization.

Contributions to technical publications, patents, or internal research papers.

Experience translating research publications or product concepts into virtual simulation models.

Experience with Modelica or other system‑level simulation environments.

Experience with Python for simulation workflow automation.

Experience validating simulation results with experimental data.

Background in consumer product development.

Experience building internal modelling capabilities.

What We’ll Give You In Return

Internationally competitive base salary, benchmarked against…
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