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7 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.
Research DirectionsThe 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.
Required Skills and Qualifications- 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.
NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities for interdisciplinary collaborations. The position additionally offers travel support for conferences and meetings and a monthly housing allowance.
Application InstructionsApplicants should submit a cover letter outlining their research interests and relevant experience, a curriculum vitae including a full list of publications, and a brief (2-3 page) description of research interests, and the contact information of three referees who can provide letters of recommendation.
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