“I like working with this mixture of astronomy and IT, and being able to contribute to the SKA is really exciting.” – Professor Andreas Wicenec
All science activities are critically dependent on data, either collected by instruments or produced by large scale computer simulation runs.
The amount of data collected is growing faster than the processing and analysis capabilities typically available to an individual scientist. In the case of the SKA the expected data rate and processing demand is so high that it will require a truly global effort to tackle the challenges.
The Data Intensive Astronomy team at ICRAR is involved in the development of the future SKA data processing system. We are also supporting various science teams in their endeavour to extract the best science out of their current data. We are offering projects related to the SKA challenges, challenges of research groups at ICRAR, cross-discipline and also industry. Projects cover computer science and data management topics, algorithmic, machine learning and general data analysis topics. The projects listed below are examples and we are usually defining the actual projects in collaboration with the students.
Available Projects
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Keeping pace with the torrent in data intensive astronomy
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Machine Learning Methods for Imaging with Interferometres
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Quantitative Study of the Impact of Advanced Lossy Compression Techniques on Radio Astronomy Science Results
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Machine Learning Detection of Gravitational Waves
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Searching for HI emission with the SKA using Cloud Computing methods
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Prediction of Observing Conditions at Radio Frequencies
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Space filling curve based optimization for multi-D data distribution