2021 ZTF Summer School

To encourage students to use ZTF and other synoptic surveys, we are hosting a yearly ZTF summer school scheduled for August 16-August 20, 2021. You can find out more information at the program here. Application deadline extended to June 15.

Aimed at the graduate student level, the school will provide an introduction to major topics of current research as well as hands-on instruction in time-domain methods. Students developing skills and science interests in these areas will be well-prepared for the LSST era. The workshop will focus on Jupyter-notebook-based, hands-on activities to interact with the ZTF data and simplify the extraction of scientific information. In particular, we will provide lessons on how to analyze both transients and variable stars, both using Bayesian inference and machine learning methods. The lessons will be given by professors and post-docs, and knowledgeable teaching assistants will be available for technical and scientific support.

2022 ZTF Summer School

The ZTF summer school is designed to provide young astronomers (graduate level and above) with hands-on experience and training in data processing of ZTF and other transient survey data using modern data science techniques such as Bayesian inference, time-series analysis, and machine learning. During the school, students will use Python Jupyter notebooks and work on multiple assignments under the guidance of experts in the field. You can find information here.

2023 ZTF Summer School

The ZTF summer school is designed to provide young astronomers (graduate level and above) with hands-on experience and training in data processing of ZTF and other transient survey data using modern data science techniques such as Bayesian inference, time-series analysis, and machine learning. During the school, students will use Python Jupyter notebooks and work on multiple assignments under the guidance of experts in the field. You can find information here.