Senior Time-Domain Astronomer
1 week ago
We are inviting applications for a postdoctoral research position in the field of time-domain astronomy.
This is an exciting opportunity to work with Assistant Professor Marc Hon and contribute to cutting-edge research in stellar variability, exoplanets, transient phenomena, and the discovery of new astrophysical events.
The successful candidate will develop and apply modern machine learning methods to analyze large-scale astronomical datasets.
Projects may utilize archival data from major facilities, such as NASA's Kepler, TESS, and JWST missions; ESA's Gaia mission; and large-scale spectroscopic surveys like LAMOST.
Required Skills and Qualifications- A PhD in Physics, Data Science, Computer Science, Astronomy, Astrophysics, or a related quantitative discipline.
- Strong analytical and computational skills in data science, statistical analysis, or machine learning.
- Proficiency with Python and data analysis frameworks.
- Familiarity with large, complex datasets and modern computational techniques.
- Good written and oral scientific communication skills.
- Demonstrated experience conducting independent research involving the analysis of large datasets.
A cover letter outlining research interests and relevant experience, curriculum vitae including a full list of publications, and a brief description of research interests should be submitted along with contact information of three referees who can provide letters of recommendation.
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