معرفی
Jared Magyar is a Research Associate in Geophysical Computing at the School of Natural Sciences, Physics department, University of Tasmania. His work focuses on developing methods for monitoring and detecting change in outlet glaciers through seismic analysis.
Magyar's research interests center around cryoseismology, specifically detecting, locating, and classifying seismic events produced by glacier processes. His work examines crevassing, basal stick-slip motion, iceberg calving, and glacier hydrology through seismic signals. He utilizes machine learning algorithms for automated event classification in complex seismic environments. Magyar also has a strong interest in science education and outreach, lecturing and tutoring physics and mathematics courses while participating in the Young Tassie Scientists program.
His recent publication 'Glacier processes from seismic recordings on Sørsdal Glacier, East Antarctica' (2025) demonstrates his expertise in cryoseismological analysis using seismic data. His research combines geophysical computing techniques with glaciology to understand glacier dynamics in Antarctica.
Magyar earned his Bachelor of Science (Advanced) (Honours) from the Australian National University between February 2018 and December 2021. He maintains active professional profiles on ORCID (0000-0002-2655-9895), GitHub (JMagyar15), LinkedIn, and Twitter (X), where he shares his work on cryoseismology and seismic data processing workflows.
