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National University of Singapore – Postdoctoral Research Fellow
Company Information: Department of Statistics and Data Science
Position Title: Postdoctoral Research Fellow
Duties and Responsibilities: The successful candidate will work with Dr. Linda Tan on the project, “Improving the efficiency of computational algorithms for fitting multilevel models to large data using augmentation techniques”, which is supported by the Academic Research Council, Ministry of Education Tier 2 grant.
In this project, the candidate will conduct an in-depth study of augmentation techniques and build upon existing techniques to develop novel algorithms for fitting complex models to large data sets. Models considered in this project (e.g., time series models for financial data and hierarchical spatial models for areal data) have wide applications and are designed for data which are often available in large quantities. The development of more efficient algorithms will enable useful insights to be drawn swiftly from these data.
This position is available for one year.
The main responsibilities of the position include:
• Performing literature review.
• Developing novel augmentation schemes and computational algorithms.
• Coding computational algorithms and running numerical experiments.
• Publishing original research articles.
• Presenting the research output at international conferences.
Position Qualifications: • Qualifications / Discipline:
Ph.D. degree in Mathematics, Statistics or similar fields.
• Skills:
Programming in R, Matlab, Python and/or Julia.
Good writing skills for producing publications.
Responsive and able to work well independently and within a team.
• Experience:
Experience with Bayesian inference, vector differential calculus, EM, variational approximation and MCMC algorithms is preferred.
Salary Range: 5000 – 7000 SGD
Benefits: Medical insurance, Vacation leave
Website: https://blog.nus.edu.sg/lindatan/
Application Information: To apply, please send a cover letter, cv, and the names of 3 references to Dr. Linda Tan (statsll@nus.edu.sg).
Contact Email: statsll@nus.edu.sg
Application Deadline: 06/30/2025
Company NameNational University of Singapore
Company Information
Department of Statistics and Data Science
Position TitlePostdoctoral Research Fellow
Duties and Responsibilities
The successful candidate will work with Dr. Linda Tan on the project, “Improving the efficiency of computational algorithms for fitting multilevel models to large data using augmentation techniques”, which is supported by the Academic Research Council, Ministry of Education Tier 2 grant.
In this project, the candidate will conduct an in-depth study of augmentation techniques and build upon existing techniques to develop novel algorithms for fitting complex models to large data sets. Models considered in this project (e.g., time series models for financial data and hierarchical spatial models for areal data) have wide applications and are designed for data which are often available in large quantities. The development of more efficient algorithms will enable useful insights to be drawn swiftly from these data.
This position is available for one year.
The main responsibilities of the position include:
• Performing literature review.
• Developing novel augmentation schemes and computational algorithms.
• Coding computational algorithms and running numerical experiments.
• Publishing original research articles.
• Presenting the research output at international conferences.
Position Qualifications
• Qualifications / Discipline:
Ph.D. degree in Mathematics, Statistics or similar fields.
• Skills:
Programming in R, Matlab, Python and/or Julia.
Good writing skills for producing publications.
Responsive and able to work well independently and within a team.
• Experience:
Experience with Bayesian inference, vector differential calculus, EM, variational approximation and MCMC algorithms is preferred.
Salary Range5000 - 7000 SGD
Benefits
Medical insurance, Vacation leave
Position or Company Websitenus.edu.sg
Application Instructions
To apply, please send a cover letter, cv, and the names of 3 references to Dr. Linda Tan (statsll@nus.edu.sg).