FEM & Multiphysics Simulation Engineer (COMSOL), PhD | Thermal · Structural · Piezo/MEMS · Python
- Verfügbarkeit einsehen
- 0 Referenzen
- 85€/Stunde
- 13055 Berlin
- DACH-Region
- ur | en | de
- 27.10.2026
- Contract ready
Kurzvorstellung
Geschäftsdaten
Qualifikationen
Projekt‐ & Berufserfahrung
8/2021 – 4/2022
TätigkeitsbeschreibungDeveloped a closed-form analytical model linking shell thickness and core diameter to the curvature of bent GaAs core-shell nanowires. Implemented and verified the model in Python and COMSOL Multiphysics. Built FEM simulations of strain fields and intrinsic electric fields (piezoelectric and flexoelectric) in bent nanowires, switching the flexoelectric term on and off to separate its contribution, supporting partner photoluminescence studies. Developed a carrier drift-diffusion model under piezo- and flexoelectric fields.
Eingesetzte QualifikationenPhysik, Finite-Elemente-Methoden, Halbleiter, Berechnungen, Python
5/2021 – 5/2024
TätigkeitsbeschreibungBuilt coupled multiphysics FEM models in COMSOL (optical absorption, carrier drift-diffusion, heat transport and elastic wave propagation) for semiconductor nanostructures, and validated them against ultrafast experimental data; the models explained how vibrational modes are excited inside the structures. Wrote Python pipelines for automated data acquisition, signal processing and analysis, cutting the analysis cycle from days to hours. Ran parametric studies over geometry and material parameters. Coordinated proposals, reports and milestones across a multi-institute team.
Eingesetzte QualifikationenDatenanalyse, Finite-Elemente-Methoden, Halbleiter, Physik, Projektkoordinator, Python
8/2017 – 3/2021
TätigkeitsbeschreibungMechanical testing of semiconductor nanowires (in-situ three-point bending) in the large-deflection, geometrically nonlinear regime; quantified elastic properties and strain response versus composition and geometry. Measured strain with digital image correlation on in-situ SEM image sequences, using my own Python correlation code, and cross-checked it with X-ray diffraction. Modelled stress-driven defect diffusion (Gorsky effect) by self-consistently solving coupled nonlinear drift-diffusion PDEs, validated against experiment. FIB/SEM imaging and EBSD orientation mapping. Six peer-reviewed publications.
Eingesetzte QualifikationenDatenanalyse, Finite-Elemente-Methoden, Halbleiter, Mikroskopie, Physik, Python
Ausbildung
Universität Siegen & Aix-Marseille Université
Siegen
Universität Siegen
Siegen
Über mich
Typical problems I solve:
• Thermal and thermo-mechanical analysis: heat loads, transient heating, thermal stress and deformation
• Structural mechanics: nonlinear and large-deformation analysis, stress and strain concentrations
• Piezoelectric and electromechanical devices: sensors, actuators, MEMS, acoustic-wave (SAW) devices
• Semiconductor device physics: carrier transport (drift-diffusion), coupled electro-thermal effects
• Python automation: parameter sweeps, design studies, post-processing, reporting and measurement data analysis
• Review and validation of existing simulation models
How I work: clear problem definition first, then a validated model with documented assumptions, and a concise report your team can act on. Fixed-scope or hourly, fully remote. Working language English (C2), German B1.
Background: 7+ years of research at Universität Siegen, Aix-Marseille Université and Paul-Drude-Institut Berlin, combining simulation with lab characterisation (electron microscopy, mechanical testing, X-ray methods). Currently on a remote freelance project in analysis software for an instrument manufacturer.
Weitere Kenntnisse
Programming & data: Python, MATLAB, Git, automated data pipelines, signal processing
Characterisation: SEM/FIB, EBSD, AFM, digital image correlation, X-ray diffraction
Languages: English C2, German B1, Urdu (native), Punjabi, Hindi
Persönliche Daten
- Urdu (Muttersprache)
- Englisch (Fließend)
- Deutsch (Gut)
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