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Researcher in Environment Virtualization and Interactive Digital Twins

On-site in Madrid·Full-time·Added 3 months ago (last checked 9 Nov)

15 open roles

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This job advert was originally written in Spanish.

Degree: PhD in Industrial Engineering, Mechanical Engineering, Computer Science, Automation, or related fields, or a doctoral candidate with a defense scheduled within a maximum of three months.
Experience: minimum of two years in research related to digital twins, advanced simulation, or environment virtualization.
Scientific production: at least two publications in JCR (Q1) journals or CORE A* conferences in the last five years.
Technical competencies: mastery of simulation engines: Unity, Unreal Engine, Gazebo, Modelica/Simulink.
Knowledge of CAE/PLM software.
Familiarity with industrial protocols (OPC UA, MQTT) and real-time data architectures.
Programming in Python, C++, and/or C#.
Experience with Docker containers and orchestration with Kubernetes.
Languages: English level C1. If not a native speaker, Spanish minimum level B2.

Experience in XR technologies (augmented, virtual, or mixed reality) applied to digital twins.
Knowledge of ISO 23247 standards (Digital Twin for Manufacturing) and the RAMI 4.0 framework.
Active research sexennium (Sexenio investigador) or ANECA accreditation.
Participation in open source projects related to simulation (Open Modelica, ROS 2, Gazebo).
Cloud certifications (Azure, AWS) or experience with Siemens NX/Teamcenter and Dassault 3DEXPERIENCE platforms.

Design, develop, and maintain interactive digital twins of industrial systems, infrastructures, laboratories, or educational environments, ensuring their integration with complex processes.
Virtualize physical environments using simulation engines such as Unity, Unreal Engine, Gazebo, or Modelica/Simulink, as well as through XR platforms, generating immersive experiences for users in industrial and training contexts.
Integrate real-time data from IoT platforms (OPC UA, MQTT, Modbus, REST) and SCADA systems for predictive analysis and performance improvement.
Implement co-simulation and hardware-in-the-loop techniques for the validation of controllers in secure virtual environments.
Deploy models in cloud-edge architectures (Docker, Kubernetes, Azure Digital Twins, AWS IoT TwinMaker), guaranteeing their scalability and security.
Publish results in JCR/Q1 scientific journals and at leading international conferences in the field of digital twins.
Participate in and lead proposals for European programs (Horizon Europe, EIT Manufacturing) and national programs (CDTI), contributing to the transfer of knowledge to industry.
Supervise Master's and PhD students, driving the adoption and development of digital twin technologies in real-world contexts.