# SFP Announcements of Opportunity
**Source**: http://announcements.surf.caltech.edu/index.cfm?event=ViewAODetail&id=2985&inFrame=&type=
**Parent**: http://announcements.surf.caltech.edu/index.cfm?event=ShowAOPublicList&formType=UROH
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | --- | --- | --- | | | | | | | | | | | | --- | --- | --- | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | --- | --- | --- | --- | | | | | --- | | Student-Faculty Programs Office Summer 2026 Announcements of Opportunity | | | | [<< Prev](http://announcements.surf.caltech.edu/index.cfm?event=ViewAODetail&id=2987&inFrame=&type=#ao_nav_links) Record 4 of 12 [Next >>](http://announcements.surf.caltech.edu/index.cfm?event=ViewAODetail&id=2986&inFrame=&type=#ao_nav_links) [Back To List](http://announcements.surf.caltech.edu/index.cfm?event=ShowAOPublicList&inFrame=&type=#ao_list) --- | | | | --- | --- | | Project: | **Discovering rare galaxies in survey imagery with self-supervised anomaly detection** (JPL AO No. 16823) | | Disciplines: | Astronomy, Data Science | | Mentor: | Eric Huff, (JPL), [Eric.M.Huff@jpl.nasa.gov](mailto:Eric.M.Huff@jpl.nasa.gov), Phone: (626) 460-9834 | | Background: | Modern galaxy surveys observe billions of galaxies across multiple wavelength bands, effectively capturing different “colors” of light from visible to near-infrared. For the majority of galaxies, these bands follow strong, predictable relationships driven by stellar populations. Galaxies that deviate from these relationships in unexpected ways are likely to be of scientific interest, including gravitationally lensed galaxies, extremely distant galaxies, unusual mergers, and other exotic systems. Studying these outlier galaxies provides a way to test of our models of galaxy evolution, dark matter and gravity in the most extreme physical cases. Given the sheer number of galaxies in modern galaxy surveys, identifying unusual galaxies manually is impractical. Self-supervised learning offers an efficient and scalable way to identify rare and unique objects, without human intervention and labeling. | | Description: | The student will design and develop a self-supervised deep learning model to detect unusual objects in multi-band galaxy images from the early data release of the Euclid Space Telescope. The core task will involve training a vision model to learn typical cross-band relationships by predicting one band from the others, and pairing this with outlier detection techniques to identify interesting objects that exhibit unpredictable patterns. | | Student Requirements: | Required: - Familiarity with Python - Experience implementing and training basic deep learning models in your deep learning framework of choice, such as PyTorch, TensorFlow, or Jax. - Introductory knowledge of astronomy and galaxies - General statistics and linear algebra skills | | Location / Safety: | Project building and/or room locations: . Student will need special safety training: . | | Programs: | This AO can be done under the following programs: | | | | | | --- | --- | --- | --- | | | | Program | Available To | | | | [SURF@JPL](https://sfp.caltech.edu/undergraduate-research/programs/surfjpl) | both Caltech and non-Caltech students | Click on a program name for program info and application requirements. | --- [<< Prev](http://announcements.surf.caltech.edu/index.cfm?event=ViewAODetail&id=2987&inFrame=&type=#ao_nav_links) Record 4 of 12 [Next >>](http://announcements.surf.caltech.edu/index.cfm?event=ViewAODetail&id=2986&inFrame=&type=#ao_nav_links) [Back To List](http://announcements.surf.caltech.edu/index.cfm?event=ShowAOPublicList&inFrame=&type=#ao_list) | --- | | | | --- | --- | | Problems with or questions about submitting an AO? Call [Student-Faculty Programs](mailto:sfp@caltech.edu) of the Student-Faculty Programs Office at (626) 395-2885. | [About This Site](http://announcements.surf.caltech.edu/About-Mighty-Ant-DataWorks.cfm) | | | | | | | | | |