Julian Claudius Schäfer-Zimmermann
Also known as: Julian Zimmermann
Max Planck Institute of Animal Behavior, ETH Zurich, Technische Universität Berlin, Max-Born-Institute
0000-0002-4784-1013
About
I started as a trained audio technician, worked in the film industry, and then studied physics, where I did a Bachelor's and Master's thesis in Geophysics, started my Ph.D. program in classical nanoparticle research, worked briefly as a machine-learning engineer, and completed my doctorate in nonlinear quantum optics, and deep learning. Then, I did my first PostDoc at ETH Zurich, leading a small team working on deep learning in coherent diffraction imaging. I am doing my second PostDoc in an animal ecology group building Transformer-based models for bioacoustics.
I have experience organizing and raising money for small conferences and workshops, and supervising multiple students (Bachelor's, Master's, and PhD).
I was awarded "Outstanding Reviewer" by IoP Nanotechnology. I have peer-reviewed multiple Journals for IoP, Elsevier, and Springer Nature, including "Machine Learning: Science and Technology" and "Nature Communications."
Employment
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Max Planck Institute of Animal Behavior Postdoctoral Researcher2022 - Present
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ETH Zurich Postdoctoral Researcher2020 - 2022
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Max-Born-Institute Research Assistant2017 - 2020
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Technische Universität Berlin Research Assistant2016 - 2017
Education
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Technische Universität Berlin Dr. rer. nat.2016 - 2021
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Technische Universität Berlin M.Sc.2014 - 2016
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Technische Universität Berlin B.Sc. Physics2010 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- HyenaSET: Hyena Sound Event Transcripts and benchmark animal2vec performance for parsing animal communication Save
- Vocal coordination and conflict avoidance shape fission-fusion dynamics in white-nosed coatis Save
- animal2vec and MeerKAT: A self‐supervised transformer for rare‐event raw audio input and a large‐scale reference dataset for bioacoustics Save
- Laser-Induced Transient Opacity in Helium Nanodroplets Probed by Single-Shot Coherent Diffraction Save
- Visualizing the strong-field induced molecular break-up of C60 via x-ray diffraction Save
- animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics Save
- Publisher Correction: Finding the semantic similarity in single-particle diffraction images using self-supervised contrastive projection learning Save
- Finding the semantic similarity in single-particle diffraction images using self-supervised contrastive projection learning Save
- The Scatman: an approximate method for fast wide-angle scattering simulations Save
- Deep neural networks for classifying complex features in diffraction images Save