Research Fellow (Statistics and Data Science)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading university in Singapore is seeking a candidate with a PhD in Statistics or Machine Learning for a role focused on developing novel causal inference methods. The position requires strong writing skills in statistics and machine learning, as well as programming proficiency in Python and R. Candidates should have research experience in causal inference and related fields. This is an exciting opportunity to work with a distinguished academic on innovative projects.

Qualifications

• PhD in a relevant field like Statistics or Machine Learning.
• Strong writing skills for academic papers in statistics and ML.
• Proficiency in programming with Python and R.

Responsibilities

• Developing causal inference methods for robust analysis.

Skills

Writing papers in statistics and machine learning

Programming skills in Python

Programming skills in R

Education

PhD in Statistics, Machine Learning or related field

Job description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Zhang Yao under a project on Assumption-lean causal inference.

The main responsibilities of the position include:

• Developing novel causal inference methods that can perform robust, powerful, and interpretable analyses under violations of standard assumptions.

Qualifications

Qualifications / Discipline:

• PhD in Statistics, Machine Learning or related field.

Skills:

• Writing papers in statistics and machine learning.
• Programming skills in Python & R.

Experience:

• Research experience in causal inference, unmeasured confounding and transfer learning.