Radio Astronomy Data Orchestration Scientist

The role focuses on developing and optimizing data orchestration technologies for processing and storing large radio astronomy datasets across diverse computing infrastructures. It involves applying advanced data science methods such as Bayesian techniques and machine learning, and implementing efficient computational solutions using tools like DASK, xarray, and GPU-based imaging.