Research
Prof. Michael Coughlin seeks a temporary worker focused on the development of searches and low-latency data products for gravitational waves with the Laser Interferometer Gravitational Wave Observatory (LIGO). Specifically, we are seeking those interested in work participating in our analysis of gravitational-wave data in support of electromagnetic counterpart searches to study multi-messenger transient objects with low-latency pipelines.

Job Duties
80%: Research in the development and application of machine learning (ML), AI, and data science algorithms for physics research projects and applications and interfaces for ML and AI algorithms in physics analysis code.
20%: Contributing to journal articles related to this research.
Other duties of a similar scope as assigned.

Required Qualifications
Need to have a BA/BS in Physics, Astronomy or related discipline

Preferred Qualifications
Experience with gravitational-wave data analysis; experience with development and deployment of machine learning models with pytorch

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