DocumentOngoingPublication

2027_SM8 – Interpretable Machine Learning for Anomalous Radio Galaxy Morphologies

SARAORef: PROPOSAL COVER PAGE 1

Official source

Source domain: sarao.ac.za

Collected on 17 June 2026

Always confirm details on the official source before acting.

What this means

This item is titled "2027_SM8 – Interpretable Machine Learning for Anomalous Radio Galaxy Morphologies". 2027 MSc Project Proposal Cover page 1. Project Title Interpretable Machine Learning for Anomalous Radio Galaxy Morphologies 2. Research Area Science 3. Academic Level PhD 4. Primary Supervisor’s Details a. Full name: Dr. Michelle Lochner b. Email address: mlochner@uwc.ac.za c. University: University of the Western Cape 5. Abstract We are entering a golden age of astronomy with the Square Kilometre Array (SKA) and the Vera C.

What this document offers

Read out of this document by Govermate's AI, in its own words. Each one quotes the line it came from — confirm on the official source before acting.

MSc research project proposalOngoing

2027 MSc Project Proposal: Interpretable Machine Learning for Anomalous Radio Galaxy Morphologies

A 2027 MSc project is proposed to apply computer vision foundation models (such as DINOv3) to radio data and use interpretability tools (such as saliency maps/Grad-CAM) to understand what features of radio galaxies the model focuses on, using the MeerKAT Galaxy Cluster Legacy Survey (MGCLS) dataset and anomaly detection results from Astronomaly: Protege (Lochner & Rudnick 2025).

Who it is for: a student who would undertake the 2027 MSc project described

Show the line this came from

2027 MSc Project Proposal Cover page 1. Project Title Interpretable Machine Learning for Anomalous Radio Galaxy Morphologies

Facts

Places

Western Cape

Reference

PROPOSAL COVER PAGE 1

Key Takeaways

2027
SKA
2027_SM8 Interpretable Machine Learning
publication

Dates

Opening Date

1 April 2026