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Take a look here:

https://arxiv.org/search/?query=astronomy+machine+learning&s...

Plenty of ML work being applied to astronomy. Much of the code is open source too so you can dive right in and contribute.

Here's a recent survey you might start with: https://arxiv.org/pdf/1912.02934.pdf

It doesn't seem like you need any sort of machine learning. Just a telescope hooked to a computer that tracks changes in the night sky over time. Like 2 weeks ago there was a magnitude 7 star in this spot and now it is magnitude 9.

I had this exact thought as I was reading this. I wonder if ML could be used to speed up the process and look for anomalies - both appearances and disappearances. Someone in our team did his PhD in machine vision. Will have a chat with him to hear his thoughts.

Anyone else have any thoughts? Also where could these images be accessed?

I'm not sure what advantage ML would bring to this particular task, but the recent GAIA survey dataset has very accurate readings of position and motion in 3D space for all visible objects and it would be interesting to see if there are any anomalies.