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Serena VangelatosSV

Serena Vangelatos

Software Developer - Computational Scientist

600 €/Tag
Stuttgart, DE
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Serena

Computational Scientist with a strong background in numerical methods, highperformance
computing (HPC), and computational fluid dynamics (CFD). Combines a
research-driven mindset with practical experience in system design, algorithm
development, and embedded software engineering.
Experienced in modeling complex physical systems, including multiphase flows and
phase transition phenomena, with a strong focus on numerical stability, efficiency,
and scalability. Passionate about connecting advanced mathematics, simulation, and
machine learning to develop robust and efficient engineering solutions.
  • Deutsch

    Muttersprachlich oder zweisprachig

  • Englisch

    Verhandlungssicher

  • Griechisch

    Grundkenntnisse

Nur remote
Führt Projekte hauptsächlich remote aus

Projekt- und Berufserfahrung

  • Robert Bosch GmbH
    Software System Engineer
    AUTOMOBILSEKTOR
    Januar 2019 - Heute (7 Jahre und 5 Monate)
    Stuttgart, Deutschland
    Develop and optimize embedded software functions for automotive Engine Control Units (ECUs), including system analysis, interface design, and testing. Lead customer-facing technical activities, from requirement clarification to tool development. Act as team focal point for AI applications in automotive, promoting innovative solutions and cross-functional collaboration.
    API Python (Programming Language) artificial intelligence C Embedded Systems
  • Stuttgart Center for Simulation Science (SimTech, Excellence Cluster), University of Stuttgart - IAG
    Research assistant | Ph.D. Candidate
    FORSCHUNG
    Januar 2012 - Januar 2019 (7 Jahre)
    Stuttgart, Deutschland
    Modeled and simulated fluid dynamical systems governed by the unsteady compressible Navier–Stokes equations Extended the FLEXI framework (Fortran), based on a high-order Discontinuous Galerkin (DG) method, by implementing implicit time integration schemes Evaluated implicit time integration and discretization schemes with respect to accuracy, stability, convergence behavior, robustness, and computational efficiency. Optimized solver performance for large-scale simulations in high-performance computing (HPC) environments Presented research at international conferences.
    Scientific Computing Fortran Algorithmes Optimization Problem solver
  • University of Freiburg
    Diploma student
    FORSCHUNG
    Januar 2007 - Januar 2012 (5 Jahre)
    Freiburg im Breisgau, Deutschland
    Academic studies in Mathematics with a minor in Physics, with focus on numerical methods, CFD, and PDEs Specialized in high-order discretization methods (FEM, FV, DG) and multiphase flow modeling, including CFD implementation in C++ Diploma thesis on modeling two-phase flows with phase transition using phase-field methods
    Algorithmes Scientific Computing C++ Mathematics Simulation numérique

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Ausbildung und Abschlüsse

  • Ph.D. (Dr.-Ing.)
    UNIVERSITY OF STUTTGART
    2019
    Ph.D. (Dr.-Ing.)
  • Diplom in Mathematics
    UNIVERSITY OF FREIBURG
    2012
    Diplom in Mathematics

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