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Postdoctoral Researcher - Applied Machine Learning & Data Science
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Assessing your cultural and operational fit
Max Planck Institute for the Structure and Dynamics of Matter
Backend Engineer
June 30, 2026 – Present
Lattice-Ref
August 5, 2024 – March 16, 2025
Algorithm and simulations for Lattice-enhanced (holographic) SPI
View ProjectVAE-for-light-source-characterization
April 9, 2024 – May 15, 2024
VAE-for-light-source-characterization — GitHub repository
View ProjectCyclicalDL-PlasmonicDesign
March 25, 2024 – March 25, 2024
Cyclical Deep Learning Implementation for Simultaneous Inverse and Forward Design of Nanophotonic Metasurfaces
View ProjectDL-PlasmonicDesign
March 25, 2024 – March 25, 2024
Deep Learning Implementation for Fast Design of Plasmonic Metasurfaces
View Projectxfel4098
November 13, 2023 – June 24, 2024
Low background high-repetition rate 3D X-ray imaging of single bio-particles using a helium-electrospray
View ProjectStrucNN
November 17, 2022 – May 14, 2024
Using NN to explore particle's structure from diffraction data
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on scientific research and deep learning, primarily using Python. While this demonstrates a strong analytical and problem-solving mindset, the diversity of projects in terms of typical backend engineering domains (e.g., web services, databases, distributed systems) is limited. The current role as 'Backend Engineer' at a research institute suggests alignment with a technically challenging environment, but broader cultural fit for a general backend engineering role requires more information.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily research-oriented, which may indicate strong problem-solving and analytical skills, but team collaboration and communication in a professional software development context are not evident.