Qualifications:- Degree/ Masters/ PHD in Computer Science, Computer Engineering, Astronomy or Astronomy techniques, Physics, or related fields
Experience:- Degree coupled 9 years relevant working experience, or Masters Degree coupled with 7 years relevant working experience or PHD coupled with 5 years relevant working experience in software engineering, high performance algorithms development
- Experience with distributed data-intensive processing and algorithm development, ideally both from a design and application perspective
- Expertise in hybrid software development in Python and C/C++ programming languages.
Knowledge:- Experience with profiling and optimization techniques, especially how to build high performance pipelines overlapping I/O and processing.
- Experience with physical data modelling, both for efficient in-memory & network data exchange as well as storage (e.g. ApacheArrow, HDF5 or equivalent)
- Understanding of data processing algorithms, such as Fourier transformations, gridding and (de)convolution methods. Knowledge of radio astronomy data processing pipelines and their scaling properties would be advantageous.
- Common radio astronomy instrumentation: spectrometers, correlators, beamformers and pulsar timing machines and transient search machines.
- Systems Engineering processes.
Please note that if you have not received a response within 14 days of submitting your application that your application was unsuccessful.
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