Postdoc: AI-Driven Hybrid Modelling & Digital Twins

IMDEA Energy; Móstoles; Presencial; EUR 32.000 - 45.000; Jornada completa

Descripción de la vacante

IMDEA Energy invites applications for a Postdoctoral Researcher to explore AI-guided modeling, simulation and optimization of SMR systems. The role emphasizes interdisciplinary collaboration between AI and Nuclear Technologies units, including developing hybrid physical-data models and digital twins.

The candidate will work with experts to define scientific foundations, implement surrogate models, and validate results with simulated and experimental data, contributing to national and

Formación

• PhD in AI/CS/Data Science/Math/Physics/Nuclear Engineering required.
• Proven experience in scientific modeling, simulation, or control of complex nonlinear dynamical systems.
• Demonstrated solid Python programming skills and ability to work with large datasets.

Responsabilidades

• Conduct a state-of-the-art review on physical, data-based and hybrid models and digital twins for nuclear energy systems.
• Identify AI methodologies and base physical models for SMR digital twin development.
• Design hybrid models and develop surrogate methods to accelerate simulations.
• Develop digital twin architecture and data interfaces between physics and AI components.
• Publish results and contribute to national/international research proposals.

Conocimientos

Python

English communication

Educación

PhD in AI/CS/Data Science/Math/Physics/Nuclear Engineering

Herramientas

OpenModelica

Modelica

OpenFOAM

OpenMC

ANSYS

COMSOL

GPU computing

Descripción del empleo

IMDEA Energy invites applications for a Postdoctoral Researcher to explore AI-guided modeling, simulation and optimization of SMR systems. The role emphasizes interdisciplinary collaboration between AI and Nuclear Technologies units, including developing hybrid physical-data models and digital twins.

The candidate will work with experts to define scientific foundations, implement surrogate models, and validate results with simulated and experimental data, contributing to national and