Martin Jucker is a Senior Lecturer and atmospheric scientist with 12 years of experience translating complex physical problems into high-performance code, models, and clear scientific communication. Trained as a physicist with a PhD in computational plasma physics from EPFL, he has led numerical climate modeling and convection-permitting simulations at institutions including UNSW, Princeton, NYU and the University of Melbourne. He combines expertise in HPC, model development, data analysis and visualization with hands-on web and tool development to make nonlinear dynamics accessible to both specialists and broader audiences. Known for bridging theory and implementation, he has consolidated disparate simulation codes into unified platforms and validated tropical convection in next-generation climate models. Based in Australia, he is actively seeking roles that probe nonlinear systems and enjoys extracting physical insight from both code and messy data. His ORCID and academic trajectory hint at a strong track record of reproducible research and collaborative international science.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Plasma Physics, Doctor of Philosophy (Ph.D.), Computational Plasma Physics at Ecole polytechnique fédérale de Lausanne
Study Abroad Program for the completion of the Master's Thesis, Physics, Study Abroad Program for the completion of the Master's Thesis, Physics at Uppsala universitet / Uppsala University
Ancient Languages, Music, Modern Languages, Ancient Languages, Music, Modern Languages at Kantonsschule Wohlen
Helper functions for postprocessing and analysis of netCDF data. Also includes I/O routines to seamlessly work with pv_atmos.
Contributions:10 PRs, 8 pushes in 4 years
pythonatmosnetcdfroutinespostprocessing
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