Computational Fluid Dynamics Engineer

The Opportunity

As R&D Computational Fluid Dynamics Associate Engineer, you will join our Global Multi-Physic Simulation (GLOMUS) network team in the TechnologyCenterof HITACHI-Energy. You will join a team of CFD analysts as part of a wider group of key people with specificexpertisein the fields of electrical, structural, acoustic, thermo-mechanic and fluid-dynamics analyses,simulationand testing. As part of our global R&D community including TechnologyCentersand ResearchCentersworldwide, you will contribute to support all factories in the PG Dry, Traction and Distribution Transformers on innovative and challenging research projects.  

Howyou’llmake an impact

• You willbe responsible forcreating and improving analytical tools andcomputational fluid dynamics(CFD) automations for thermo-fluid dynamic analysis in electrical machines such as transformers and reactors.

• Propose and provide technical solutions for a variety oftransformers and reactors, ensuring that they meet the required standards and performance expectations

• Activelyparticipatein the creation, updating, and maintenance of technical standards that dictate the management of thermo-mechanical performance of various transformers, including dry, liquid-filled, and traction distribution transformers

• Work within the GLOMUS network, collaborating with other simulation teams to deliver comprehensive multi-physic finite element methodologies and automations for coupled electromagnetic, structural, and fluid-dynamic problems

• Design and conduct experimental campaigns tovalidatethe technical solutions and numerical models you or the team propose

• Providetimelyand effective support to factories facing technical challenges andfacilitatethe transfer of technology and knowledge from R&D to the engineering department through the creation of design rules, training materials, and collaboration with design tools teams

• Carry out CFD simulations for cooling systems in all types of transformers, run feasibility studies, develop new technical concepts, design new products, and simulate their expected performances to contribute to technology development projects

Your Background: 

• PhD or MSc in Mechanical Engineering, Aerospace Engineering, Physics, or a closely related field, with a strong focus on heat transfer, fluid mechanics, and thermodynamics.

• Strong hands-on experience in Computational Fluid Dynamics (CFD) and thermo-mechanical simulations, applied to complex industrial systems such as transformers or similar thermal-fluid equipment.

• Advancedproficiencyin numerical methods for thermodynamic and heat transfer simulations, including conjugate heat transfer, turbulence modelling, and transient analyses.

• Practical experience with industry-standard tools such as ANSYS CFX/FLUENT,OpenFOAM,COMSOLandStarCCM+, withdemonstratedability to customize models for internal oil flows, cooling ducts, and heat exchangers.

• Solid knowledge of programming and scripting for model development, automation, and post-processing, including MATLAB, Python, and Visual Basic.

• Ability to develop custom thermal or thermal-hydraulic solvers, parameter estimation routines, and data-driven enhancements to physics-based models.

• Understanding of Fluid–Structure Interaction (FSI) theory, particularly as applied to thermally induced stresses, vibration risks, and deformation in fluid-cooled structures. 

• Experience coupling thermal, hydraulic, and mechanical domains inmultiphysicssimulation environments.

• Excellent communication skills, able to convey complex thermal and CFD concepts to multidisciplinary teams.

• Strong teamspirit, with experience in collaborative, international R&Dor engineering environments.

• Innovative, out-of-the-box mindset, contributing to advanced modelling approaches, design optimization, and digitalization initiatives.

• Willingness to travel and fluency in English are practical requirements for the job that enable collaboration in diverse environments and effective communication in the international arena.