NATIONAL UNIVERSITY OF SINGAPORE

Research Assistant (Computer Science / Data Science)

Location
Singapore
Posted
09 Jun 2023
End of advertisement period
21 Jun 2023
Ref
16110744
Contract Type
Fixed Term
Hours
Full Time

Job Description

Yale-NUS College is seeking motivated candidates for a Research Assistant position in the Division of Social Sciences.

This position is connected to a research project titled "The River of Cooperation and Competition - The Effects of Upstream Dams on Downstream Countries in the Mekong River Basin" and will support the dataset access from NASA and process and combine data with other sources. The selected candidate will  learn how to code and apply machine learning techniques and estimate regression model for conducting causal inferences.

Qualifications

  • Honours degree in Computer Science, Data Science or related fields.
  • Knowledge of coding in Stata, R and Python, as well as experience in processing and working with actual data.
  • Attention to detail
  • Excellent organisation and interpersonal skills.
  • Ability to work independently and multitask effectively

More Information

Application Procedures:

To apply for this position, please submit the following materials:

  • A cover letter
  • Curriculum Vitae

Review of applications begins immediately, and will continue until the position is filled. Only shortlisted candidates will be notified. For general inquiries, please email faculty.hr@yale-nus.edu.sg 

Equal Opportunity Employer:

Yale-NUS College achieves excellence through the diversity of its students, faculty, and staff and by embracing inclusivity, equity, and global engagement. We encourage applications by diverse individuals with a demonstrated commitment to these values. For more information about the College, please visit https://www.yale-nus.edu.sg.

Personal Data Protection Act:

Candidates should understand that by sharing information with Yale-NUS, they authorise the College to use their personal data for the purposes of this application. The College will not use their data for other purposes and ensure that their data remains secure and confidential.

Similar jobs

Similar jobs