Research Assistant (Physics)

Interested applicants are invited to apply directly at the NUS CareerPortal. Please note your application will only be processed if you apply viaNUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Physics%29/32561-en_GB/

We regret that only shortlisted candidates will be notified.

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.