Research Fellow (Astrophysics / Data Science)

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Job

Description

Applications

are invited for a postdoctoral research position in the Department

of Physics at the National University of Singapore, in the research

group of Assistant Professor Marc Hon. 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

directions will be flexible and shaped according to mutual

interests. Potential areas include - but are not limited to -

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. Experience

working with large, complex datasets is expected, and familiarity

with modern machine learning methods will be considered an

asset.

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.

Qualifications

Qualifications / Discipline : PhD in Physics, Data Science, Computer

Science, Astronomy, Astrophysics, or a related quantitative

discipline.

• Skills :

Strong analytical and computational skills in data science,

statistical analysis, or machine learning.

Proficiency with Python and data analysis

frameworks.

datasets and modern computational techniques.

Good written and oral scientific communication

skills.

Demonstrated experience conducting independent research involving

the analysis of large datasets.

with modern machine learning methodologies is strongly

desirable.

relevant skills in astronomy, astrophysics, physics, computer

science, or related field

Applicants 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.