Honours information session

Thursday May 6 2.30pm

Join us for a short online session to discover why honours could be the right choice for you.

Register for webinar

Machine Learning Techniques for Advanced Gravitational Wave Detectors

The Advanced LIGO interferometers output a vast amount of data regarding their internal states.

To further improve the sensitivity of these detectors we require new techniques to extract experimental parameters to control and diagnose issues within these complex experiments.

Key to this effort is developing an understanding of how multiple degrees of freedom and experimental parameters interact with one another in these advanced interferometers.

This project will use advanced interferometer simulation software, developed by researchers at Adelaide, coupled with machine learning and Bayesian analysis methods to develop new techniques for extracting experimental parameters within gravitational wave interferometers.

It would suit students with an interest in programming, data analysis techniques and machine learning.

This project is part of the research program within the ARC Centre of Excellence for Gravitational Wave Discovery (OzGrav), and includes research toward upgrading the sensitivity of the current generation of detectors, analysing data from those detectors and the development of technology for future detectors.


Tagged in Honours projects - Physics, Honours Projects - Peter Veitch, Honours Projects - Sebastian Ng, Honours in Physics subtheme - Gravitational waves, Honours in Physics subtheme - Optics lasers and photonics

STEM Careers Night: On-campus and online

Whether you're still at high school or planning to join us mid-year, taking a break from study or rethinking your career path, come chat with us at our STEM Careers Night.

You and your parents are invited to join us on campus on Tuesday 18 May to see what’s available in the world of STEM.

STEM Careers Night