DREAMS, located at the Siding Spring Observatory, is the infrared answer to the Vera Rubin Observatory. We know that some transient events will be better observed in the infrared due to a dust rich environment, either because they take place near the galactic centre or because there are self-occulting like star mergers.  DREAMS and its 4 square degree field-of-view will monitor the infrared sky (J and H bands) monitoring it entirely at a cadence of less than a week. The enormous data it will produce will result in the fastest infrared survey of the infrared sky and create alerts that can be used by the transient community. 
 

To reach its full potential, the telescope needs a robust data reduction pipeline. This pipeline is adapted from an open-source software developed by Caltech and MIT for the Winter telescope in California. In this project, we seek a software and big-data savvy student interested in transient astronomy to adapt this data reduction software to the DREAMS telescope. The project is best complemented by specific science observations that the student can do with DREAMS to demonstrate the capabilities of the telescope in coordination with another RSAA supervisor.