IMDEA Energy is opening a Postdoctoral Researcher Position for an interdisciplinary project between the Artificial Intelligence Unit and the Nuclear Technologies Unit, looking for talented and motivated candidates to start a new research line on applying AI techniques to model, simulate, predict, optimize and evaluate SMR systems.
We are looking for a solid profile in scientific modeling of physical systems and Artificial Intelligence experience. The project will start defining the scientific and technological basis, with simplified models and simulated data. Later, the research will evolve with more complex models and experimental data coming from research and industrial collaborators in the nuclear sector.
This researcher will work in close collaboration with researchers from the Nuclear Technologies Unit for the definition, development and validation of the physical models used as the basis of the hybrid models and digital twins as the main focus of this position.
Tasks Description
Conduct a state-of-the-art review about physical, data-based and hybrid models, and digital twins applied to nuclear energy systems (particularly SMRs), contributing to the scientific roadmap of the new research line.
Identify and select the most suitable AI methodologies and base physical models (neutronics, thermal-hydraulics) for modeling problems such as an SMR digital twin.
Design hybrid models combining physical knowledge, behavioral equations, and AI techniques, and develop methodologies to estimate variables that cannot be measured directly.




Develop machine learning models and surrogate models to accelerate physical simulations in SMR components.
Design the digital twin architecture, defining the data architecture and the interface between the physical model and the AI learning layer.
Develop an initial digital twin demonstrator for a SMR system or component.
Apply early anomaly detection, diagnostic, and predictive maintenance techniques, as SMR digital twin applications, when available data.
Incorporate methods for uncertainty quantification, robustness, explainability, and validation of AI models.
Generate, organize, and analyze databases from simulated and experimental data, and validate digital models against them.
Contribute to national/international project proposals and deliverables
Publish and present results at scientific conferences (e.G., Spanish Nuclear Society Annual Meeting, SNETP, CEIDEN, AI forums).
Requirements
Compulsory Requirements
PhD in Artificial Intelligence, Computer Science, Data Science, Mathematics, Physics, Nuclear Engineering, or equivalent engineering with high computational modeling.
Proven experience (pointing specific publications in the motivation letter) in scientific modeling, simulation and/or control of (BG4.1)complex nonlinear dynamical physical systems.
Proven experience (pointing specific publications in the motivation letter) in different data-based modeling and AI methodologies.
Demonstrated solid programming skills in Python (BG5.1)(add link to github or portfolio in CV).
Other merits to value
Strong track record of scientific publications in AI.
Knowledge of thermo-hydraulics, heat

📌 Postdoctoral Researcher Position In Artificial Intelligence, Hybrid Modelling And Digital Twins... (Móstoles)
🏢 Imdea Energy
📍 Móstoles