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Ali RajaeiAR

Ali Rajaei

Simulation & Data Science

€125/day
Düsseldorf, DE
8-15 years

Average response time: 1 hour

About Ali

I am a Simulation & Data Science Engineer with over 10 years of experience in FEM (Abaqus), material / process modeling, and mechanical engineering.
I combine deep expertise in thermomechanical analysis, fatigue & damage prediction, and material behavior with modern skills in Python-based data science and process automation.
My strength is bridging engineering know-how with data-driven methods to deliver validated, efficient, and innovative solutions for industry and R&D.
  • German

    Native or bilingual

  • English

    Fluent

Can work on-site
Düsseldorf (up to 50km)

Experience

  • independent
    Professional Development & Application
    December 2024 - Today (1 year and 6 months)
    • Consolidating and structuring core technical expertise; applying for academic research and R&D/engineering roles in drive technology, materials, manufacturing, and digitalization
    • Authoring and publishing scientific papers in materials science and mechanical engineering
    • Self-study in Data Science & Simulation
    Data science Simulation Python (Programming Language)
  • Institute for Materials Applications in Mechanical Engineering (IWM), RWTH Aachen University
    Group & Research Field Lead
    January 2018 - December 2024 (6 years and 11 months)
    Aachen, Germany
    • Led the Heat Treatment research group with four PhD researchers
    • Acquired, coordinated and contributed to 12 third-party funded projects (DFG, AiF, industrial contracts)
    • Strategically advanced the group by defining new research directions in materials, applications, methods, and industrial partnerships
    • Expanded industrial collaborations with Flender, SEW-Eurodrive, GKN Powder Metallurgy, Höganäs, ALD Vacuum Technologies in areas such as gearboxes, sintered components, and heat treatment
    • Built interdisciplinary research networks with institutes such as WZL (RWTH Aachen), IAM-WK (KIT), IW (RUB), FZG (TUM), IWT Bremen
    • Represented the institute in industrial expert committees, such as "Sinter Steels Expert Group (Powder Metallurgy Association)" and "FVA (Research Association for Drive Technology) – co-developed methods for heat treatment simulation and fatigue assessment of drive components"
    • Acted as workstream lead in the Excellence Cluster “Internet of Production”, coordinating activities on digital twins and digital shadows for processes and materials.
    • Developed service offers for industrial and academic customers; represented the institute strategically in collaborative networks
    Projektmanagement Digital Twin Antriebstechnik
  • IWM, RWTH
    Research Engineer
    November 2014 - December 2017 (3 years and 1 month)
    52 Aachen, Germany
    • Conducted FEM simulations (Abaqus) and developed models for residual stresses and fatigue behavior
    • Performed experimental validation with SEM, XRD, dilatometry, and hardness testing
    • Modeled residual stresses in bearing steel 100Cr6 during grinding using in-situ temperature measurements
    • Mechanism-based modeling of tempering effects in high-alloy tool steels (precipitation, FEM)
    • Simulated thermo-mechanical fatigue of die-casting tools (X40CrMoV5-1 )
    • Modeled heat treatment of Inconel 718, including creep behavior at high temperatures
    • Probabilistic fatigue modeling of case-hardened steels including defects
    • Optimized gear tooth root strength (sinter steels, 18CrNiMo6-7) considering residual stress profiles
    • Authored research reports, scientific publications, and presented results at conferences and industry workshops

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Education

  • Doctorate in Mechanical Engineering
    RWTH Aachen University
    2017
    Doctorate in Mechanical Engineering
  • M. Sc. Production Technology
    RWTH Aachen University
    2013
    M. Sc. Production Technology

Skill set

Categories