Official source
Source domain: sarao.ac.za
Collected on 17 June 2026
Always confirm details on the official source before acting.
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.
Master's Research Project: Low-cost Gaussian Process-based RFI Source Predictor
A research opportunity for a Master's student to develop a low-cost system for predicting radio frequency interference (RFI) sources using Gaussian Processes. The project involves building a hardware setup with low-cost RF front-end components and embedded platforms like Raspberry Pi, and implementing software tools for RFI identification and prediction. It connects with outreach efforts in STEM education and supports hobbyist radio astronomy.
Places
City of Cape Town, Western Cape
Reference
https://www.sarao.ac.za/wp-content/uploads/2020/03/2021-EMP11-Winberg-Low-cost-gaussian-process-based-RFI-source-predictor.pdf
Opening Date
31 March 2020
This project related to the Engineering Focus Aspect #3, "Hardware and data analysis systems for detecting, monitoring and identifying RFI", and particularly the development of skills in this area together with development of hardware and software tools.
