24.09.2026 aktualisiert
100 % verfügbar
Thermal Simulation Engineer | CFD | Thermal-Fluid Analysis | Predictive Simulation
München, Deutschland
München +25 km
Master's Degree in Computational Science and EngineeringSkills
Fem-berechnungenComputational Fluid DynamicsLinuxMATLAB
CFD Simulation
Extensive experience in CFD simulation using industry-leading tools such as STAR-CCM+, OpenFOAM, and AVL FIRE. Application of CFD methods for airflow, heat transfer, thermal management, and turbomachinery across automotive and industrial domains.
Thermal-Fluid Analysis & Thermal Management
Deep expertise in thermal-fluid analysis including conjugate heat transfer, cooling system design, and thermal management for ICE, EV, and HEV powertrains. Validation of simulation results against experimental data to ensure compliance with safety and performance requirements.
Simulation Workflow Automation & CAE Methodology
Standardization and automation of simulation workflows through scripting, macros, and process optimization. Development of reproducible CAE methodologies to improve engineering efficiency and reduce manual effort across pre- and post-processing tasks.
Finite Element Analysis (FEA)
Application of FEA using tools such as Abaqus and ANSYS Mechanical. Integration of FEA with CFD into fluid-solid predictive deformation workflows within STAR-CCM+.
Programming & High-Performance Computing (HPC)
Proficiency in Python, bash, Matlab, C++, Java, and MPI/OpenMP for numerical solver development, automation, and high-performance computing tasks.
Pre/Post Processing
Hands-on experience with pre- and post-processing tools including ANSA, ParaView, META, and CATIA V5 for geometry preparation, mesh generation, and result visualization.
Numerical Methods & Applied Mathematics
Strong foundation in numerical methods including relaxation methods, conjugate gradient, multigrid algorithms, and Navier-Stokes solvers. Application in both academic projects and industrial simulation tasks.
Fluid-Structure Interaction (FSI)
Experience in FSI simulation using Kratos Multiphysics and coupled OpenFOAM-preCICE workflows for multiphysics applications including battery cooling systems.
Design Optimization & Simulation-Driven Product Development
Responsibility for design evaluation and approval based on predictive simulation results, balancing performance, efficiency, and safety throughout the product lifecycle.
Materials Engineering
Academic background in Materials Engineering from the University of Miskolc, providing a solid foundation for understanding material behavior in engineering simulations.
Extensive experience in CFD simulation using industry-leading tools such as STAR-CCM+, OpenFOAM, and AVL FIRE. Application of CFD methods for airflow, heat transfer, thermal management, and turbomachinery across automotive and industrial domains.
Thermal-Fluid Analysis & Thermal Management
Deep expertise in thermal-fluid analysis including conjugate heat transfer, cooling system design, and thermal management for ICE, EV, and HEV powertrains. Validation of simulation results against experimental data to ensure compliance with safety and performance requirements.
Simulation Workflow Automation & CAE Methodology
Standardization and automation of simulation workflows through scripting, macros, and process optimization. Development of reproducible CAE methodologies to improve engineering efficiency and reduce manual effort across pre- and post-processing tasks.
Finite Element Analysis (FEA)
Application of FEA using tools such as Abaqus and ANSYS Mechanical. Integration of FEA with CFD into fluid-solid predictive deformation workflows within STAR-CCM+.
Programming & High-Performance Computing (HPC)
Proficiency in Python, bash, Matlab, C++, Java, and MPI/OpenMP for numerical solver development, automation, and high-performance computing tasks.
Pre/Post Processing
Hands-on experience with pre- and post-processing tools including ANSA, ParaView, META, and CATIA V5 for geometry preparation, mesh generation, and result visualization.
Numerical Methods & Applied Mathematics
Strong foundation in numerical methods including relaxation methods, conjugate gradient, multigrid algorithms, and Navier-Stokes solvers. Application in both academic projects and industrial simulation tasks.
Fluid-Structure Interaction (FSI)
Experience in FSI simulation using Kratos Multiphysics and coupled OpenFOAM-preCICE workflows for multiphysics applications including battery cooling systems.
Design Optimization & Simulation-Driven Product Development
Responsibility for design evaluation and approval based on predictive simulation results, balancing performance, efficiency, and safety throughout the product lifecycle.
Materials Engineering
Academic background in Materials Engineering from the University of Miskolc, providing a solid foundation for understanding material behavior in engineering simulations.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2026
Sprachen
DeutschverhandlungssicherEnglischverhandlungssicherUngarischMuttersprache
Projekthistorie
Full-time parenting career break.
Approved brake system designs across multiple BMW and Rolls-Royce vehicle models in several development phases, covering ICE, hybrid, and electric powertrains. Optimized and validated CFD models for airflow, heat transfer, and thermal management. Standardized and automated simulation workflows and CAE methodology through scripting and macros. Steered technical decisions across Design, Construction, Vehicle Integration and Product Management teams. Coached an engineering student in design optimization techniques using STARCCM+ and Shapemodule. Owned a cross-functional initiative uniting 3D CFD and FEA into a single fluid-solid predictive deformation workflow in STAR-CCM+.
Implemented a complex, cutting-edge simulation model with extreme physical conditions to expand the company portfolio. Thesis work titled: Numerical modeling of aero performance for the Energy Efficient Engine High-pressure Compressor.