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Serena VangelatosSV

Serena Vangelatos

Software Developer - Computational Scientist

€600/day
Stuttgart, DE
8-15 years

Average response time: 1 hour

About 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.
  • German

    Native or bilingual

  • English

    Fluent

  • Greek

    Basic

Remote only
Primarily works remotely

Experience

  • Robert Bosch GmbH
    Software System Engineer
    AUTOMOBILE
    January 2019 - Today (7 years and 5 months)
    Stuttgart, Germany
    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
    RESEARCH
    January 2012 - January 2019 (7 years)
    Stuttgart, Germany
    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
    RESEARCH
    January 2007 - January 2012 (5 years)
    Freiburg im Breisgau, Germany
    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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Education

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

Skill set

Categories