Postdoctoral Researcher - Digital Twins

Innomerics; Santiago de Compostela; Presencial; EUR 46.000; Jornada completa

Descripción de la vacante

A technology research company in Santiago de Compostela seeks an experienced researcher with a PhD to advance digital twin technologies for monitoring conditions in industrial facilities. The role entails developing algorithms for reduced-order models, collaborating with experts, and publishing findings. A full-time position with a starting salary of 46,000 € is offered.

Servicios

Permanent full-time contract

Starting gross annual salary of 46,000 €

Mentorship from leading experts

Active participation in real-world applications

Formación

• PhD degree in a relevant field.
• Strong background in numerical methods, CFD, and thermo-fluid modeling.
• Solid programming skills in Python and C++.

Responsabilidades

• Conduct R&D activities on physics-based and reduced-order models using Kratos Multiphysics.
• Develop algorithms for building reduced-order models based on CFD finite element models.
• Implement and test data-assimilation and inverse-problem algorithms.

Conocimientos

Strong background in numerical methods

CFD

Thermo-fluid modeling

Solid programming skills in Python

Solid programming skills in C++

Data-driven modeling experience

Experience with inverse problems

Experience with uncertainty quantification

Educación

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

Herramientas

Kratos Multiphysics

MFEM

OpenFOAM

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 .