Research Engineer: Federated Causal Inference in Diverse Data

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT); Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading university in Singapore is seeking a Researcher for federated causal inference projects. The role involves designing algorithms and managing research projects. Applicants should have a Master's degree in a relevant field and a strong background in statistics and machine learning. This full-time position promises an engaging research environment and the opportunity to work closely with industry.

Qualifications

• A Master's degree or higher in Computer Engineering, Computer Science, Data Science, or equivalent.
• Strong theoretical background in statistics and machine learning.
• Proficiency in algorithm development using Python.

Responsibilities

• Participate in and manage the research project with Principal Investigator to ensure project deliverables.
• Derivation of performance metrics for federated causal inference algorithms.
• Design and development of novel federated causal inference algorithms.

Skills

Strong theoretical background in statistics

Machine learning

Algorithm development using Python

Critical thinking

Education

Master's degree or higher in Computer Engineering or related fields

Tools

PyTorch

TensorFlow

Job description

A leading university in Singapore is seeking a Researcher for federated causal inference projects. The role involves designing algorithms and managing research projects. Applicants should have a Master's degree in a relevant field and a strong background in statistics and machine learning. This full-time position promises an engaging research environment and the opportunity to work closely with industry.