Postdoctoral Researcher - Digital Twins

Innomerics; España; Presencial; EUR 46.000 - 53.000; Jornada completa

Descripción de la vacante

A research and development organization in Spain seeks an experienced researcher to join their R&D team. The role involves contributing to advanced digital twin technologies for environmental monitoring in industrial plants, particularly nuclear power facilities. Candidates should hold a PhD in a relevant engineering field and possess strong skills in numerical methods, CFD, and programming in Python and C++. A competitive salary and mentorship from experts are offered.

Servicios

Permanent full-time contract

Starting gross annual salary of 46,000 €

Mentorship from leading experts

Participation in industrial applications

Formación

• PhD degree in a relevant engineering field.
• Strong background in numerical methods and CFD.
• Solid programming skills in Python and C++.

Responsabilidades

• Conduct R&D on physics-based and reduced-order models using Kratos Multiphysics.
• Develop algorithms for reduced-order models simulating environmental conditions.
• Implement data-assimilation and inverse problem algorithms.

Conocimientos

Numerical methods

CFD

Thermo-fluid modeling

Python

C++

Data-driven modeling

Educación

PhD in Mechanical, Aerospace, Civil, Energy, or Computational Engineering

Herramientas

Kratos Multiphysics

OpenFOAM

MFEM

Descripción del empleo

Innomerics has been awarded R&D funding under the 2024 Proyectos en Colaboración Público-Privada programme for the GENESIS Project – Digital Twins for Environmental Condition Monitoring and Thermal Safety in Industrial Facilities , developed in collaboration with the International Center for Numerical Methods in Engineering (CIMNE) .

We are seeking an experienced researcher holding a PhD degree to join our R&D team and contribute to the development of advanced digital twin technologies that combine CFD-based models, reduced-order modeling (ROM / HROM) techniques, Bayesian inverse algorithms, and sensor data fusion to monitor environmental and thermal conditions in industrial plants such as nuclear power plants.

Key Responsibilities

• Conduct R&D activities on physics-based and reduced-order models (ROMs) using Kratos Multiphysics and pamONE , Innomerics’ proprietary digital-twin platform.
• Develop algorithms for building reduced-order models based on computational fluid dynamics (CFD) finite element models that simulate environmental conditions inside nuclear power plants.
• Implement and test data-assimilation and inverse-problem algorithms (e.g., MCMC, optimization-based parameter estimation) to integrate sensor data into physics-based models.
• Lead the design, validation, and deployment of digital twins for real industrial facilities.
• Collaborate with CIMNE researchers to integrate high-performance computing (HPC) workflows and model-reduction strategies.
• Publish scientific results in high-impact journals and present findings at international conferences.

Candidate Profile

• PhD degree in Mechanical, Aerospace, Civil, Energy, or Computational Engineering (or related field).
• Strong background in numerical methods , CFD , and thermo-fluid modeling .
• Solid programming skills in Python and C++ ; familiarity with Kratos Multiphysics , MFEM , OpenFOAM , or similar frameworks is a plus.
• Experience in data-driven modeling, inverse problems, or uncertainty quantification will be highly valued.
• Excellent analytical, organizational, and communication skills; ability to work independently in a multidisciplinary research environment.

We Offer

• A permanent full-time contract, not limited to the three-year duration of the GENESIS project.
• Starting gross annual salary of 46,000 €
• The opportunity to work in a cutting-edge collaborative project between Innomerics and CIMNE , bridging academic research and industrial applications.
• Mentorship from leading experts in numerical methods and digital twins.
• Active participation in real-world industrial applications in the energy and nuclear sectors.

If you hold a PhD and are passionate about simulation, modeling, and data-driven engineering, we invite you to join us in shaping the next generation of digital twins for critical infrastructures .