Research Scientist

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Job Summary

The Deep Synoptic Array (DSA) is seeking a researcher to contribute to the development and implementation of the DSA transient detection pipeline. The candidate will work with simulated DSA data products to develop and test methods for source extraction, source classification, false-positive detection, and image cutout extraction.

The candidate will build the radio transient detection pipeline using modern image-processing and data-analysis techniques, grounded in domain knowledge of radio interferometry and the physics of transient astronomical phenomena. When the DSA becomes operational, the pipeline will provide an automated, near-real-time stream of transient alerts to the DSA community. This alert stream will support statistical studies of known transient populations and enable searches for previously undetected classes of cosmic explosions.
In addition to contributing to the DSA pipeline, the candidate may pursue independent or collaborative research, including the analysis of data from the Very Large Array Sky Survey (VLASS) and publication of a catalog of radio transients.

Essential Job Duties

• Develop and implement components of the DSA transient detection pipeline using simulated DSA data products.
• Develop methods for automated source extraction, classification, false-positive detection, and image cutout extraction.
• Apply modern image-processing, statistical, and machine-learning techniques to radio astronomical data.
• Incorporate knowledge of radio interferometry and the physical properties of transient astronomical sources into pipeline development.
• Develop, test, and validate pipeline performance using simulated and survey data.
• Contribute to the design of an automated, near-real-time transient alert system for the operational DSA.
• Document software, methods, testing procedures, and scientific results.
• Work with members of the DSA science and software teams to support integration of the transient pipeline into the broader DSA data-processing system.
• Conduct independent or collaborative research related to radio transients, as appropriate.
• Analyze survey data, including data from the Very Large Array Sky Survey, and contribute to scientific publications and catalogs.
• Present technical and scientific results to project collaborators and the broader astronomical community.

Basic Qualifications

• Ph.D. in astronomy, astrophysics, physics, computer science, or a related field plus at least one year of related experience.
• Experience with scientific programming and data analysis, preferably in Python.
• Experience working with astronomical imaging or other scientific imaging data.
• Demonstrated ability to develop, test, and analyze scientific software or data-processing pipelines.
• Experience conducting independent research and communicating scientific results through publications, presentations, or equivalent work.

Preferred Qualifications

• Experience with radio astronomy and radio interferometry.
• Familiarity with radio transient science and the physical processes associated with transient astronomical phenomena.
• Experience with source detection, image segmentation, classification, anomaly detection, or related image-processing techniques.
• Experience with machine learning or statistical methods applied to astronomical data.
• Experience working with large astronomical survey datasets.
• Experience with the Very Large Array or Very Large Array Sky Survey (VLASS).
• Experience developing production-quality scientific software and automated data-processing pipelines.
• Familiarity with software development practices such as version control, testing, documentation, and reproducible workflows.
• Experience working in a collaborative, interdisciplinary research environment.

Required Documents

• Resume.