Astronomy Research Position
5 days ago
We are seeking a highly motivated postdoctoral researcher to join our research group at the National University of Singapore. The successful candidate will develop and apply modern machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy.
The research directions will be flexible and shaped according to mutual interests. Potential areas include stellar variability, exoplanets, transient phenomena, and the discovery of new astrophysical events. Projects may make extensive use of archival data from major facilities, including NASA's Kepler, TESS, and JWST missions; ESA's Gaia mission; and large-scale spectroscopic surveys such as LAMOST.
Key Responsibilities:
- Develop and apply modern machine learning methods to the analysis of large-scale astronomical datasets.
- Analyze complex datasets and identify patterns and trends using statistical and computational techniques.
- Collaborate with other researchers to design and implement new research projects.
- Publish research findings in top-tier scientific journals.
Required Skills and Qualifications:
- A PhD in Astronomy or related field.
- 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.
Benefits:
- Vibrant research environment with access to high-performance computing facilities.
- Opportunities for interdisciplinary collaborations and networking.
- Travel support for conferences and meetings.
- A monthly housing allowance.
Application Instructions:
- Submit a cover letter outlining your research interests and relevant experience.
- Include a curriculum vitae with a full list of publications.
- Provide a brief (2-3 page) description of your research interests.
- Supply contact information for three referees who can provide letters of recommendation.
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