Job Title: Research Assistant (Physics)
University-Level Unit: Science
Faculty/Department-Level Unit: Physics
Employee Category: Research Staff
Location_ONB: Kent Ridge Campus
Posting Start Date: 20/04/2026
Job Description
The successful candidate will work with Asst. Prof. Marc Hon and Prof. Anthony Tung from the NUS School of Computing on an interdisciplinary NUS Physics × Computing project: AI-Driven Discovery of Dark Matter Candidates via Gravitational Microlensing.
The Responsibilities Of The Position Include
- Designing methods for anomaly detection in irregularly sampled time-series of stellar brightness over time
- Physics-aware generation of time-series data containing transient events
- Coordination with Physics and Computing teams for applications to next-generation astronomical surveys
The role is ideal for someone with a strong computational background combined with an interest in time-domain AI and scientific machine learning. Expertise in astrophysics can be developed during the project.
Qualifications
Bachelor's Degree in Data Science, Computer Science, Physics, or a similar quantitative field.
Skills
- Strong analytical and computational skills in data science, statistical analysis, or machine learning.
- Proficiency with PyTorch and data analysis frameworks in Python.
- Familiarity with large, complex datasets and modern computational techniques.
- Good written and oral scientific communication skills.
Experience
- Demonstrated experience conducting independent research involving the analysis of large datasets.
- Familiarity with modern machine learning methodologies, particularly for time-series data.
- A record of relevant projects involving temporal data and/or time-series analyses is desirable.
