Research Assistant – Gaia Variable Star Machine Learning
About The Position
The Department of Physics and Astronomy seeks a temporary Research Assistant to support the CAS Seed Program project, “Gaia in Technicolor: A Novel Approach for Mapping the Variability of Stars through H-R Diagram Motions.” The project uses machine learning and functional data analysis to classify millions of variable stars based on their motions through the Hertzsprung-Russell diagram in European Space Agency Gaia DR3 multi-epoch photometry. The Research Assistant will serve as the primary day-to-day researcher during the discovery, characterization, and dissemination phases of the project. The position works under the supervision of Drs. Brad Barlow and Tarek Zikry, with bi-weekly meetings. The schedule is Monday through Friday, 10:00 AM–4:30 PM, for 30 hours per week.
Responsibilities
- Serve as the primary day-to-day researcher during the project's discovery, characterization, and dissemination phases.
- Support the CAS Seed Program project using machine learning and functional data analysis to classify variable stars.
- Meet bi-weekly with Drs. Brad Barlow and Tarek Zikry.
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What This Job Offers
Job Type
Part-time
Education Level
No Education Listed
