Postdoc: Time-Domain Astro ML & Big-Data Analysis

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading academic institution in Asia seeks a postdoctoral researcher to develop machine learning methods for analyzing astronomical datasets. The successful candidate will engage in flexible research areas including stellar variability and exoplanets. Candidates should have a PhD in a related field and strong analytical skills. This position provides a vibrant research environment with access to high-performance computing facilities.

Benefits

Travel support for conferences

Monthly housing allowance

Qualifications

• PhD in a quantitative discipline is required.
• Strong experience in data science and statistical analysis.
• Demonstrated experience in independent research with large datasets.

Responsibilities

• Develop and apply machine learning methods to astronomical datasets.
• Engage in research directions based on mutual interests.
• Participate in interdisciplinary collaborations.

Skills

Analytical and computational skills

Proficiency with Python

Familiarity with large datasets

Good communication skills

Education

PhD in Physics, Data Science, Computer Science, Astronomy, or related discipline

Job description

A leading academic institution in Asia seeks a postdoctoral researcher to develop machine learning methods for analyzing astronomical datasets. The successful candidate will engage in flexible research areas including stellar variability and exoplanets. Candidates should have a PhD in a related field and strong analytical skills. This position provides a vibrant research environment with access to high-performance computing facilities.