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Teaching Assistant/Course Instructor for University Data Literacy Course

4 weeks ago

Singapore NATIONAL UNIVERSITY OF SINGAPORE Full time
Roles & Responsibilities

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

We are seeking passionate and articulate individuals with a strong desire to empower young minds in Data Literacy. GEA1000 Quantitative Reasoning with Data, the default NUS course for Data Literacy, equips learners with essential quantitative reasoning skills to ask questions, make sense of data, and propose actions for real-world applications across diverse fields like science, engineering, healthcare, and business. The course utilizes the Problem-Plan-Data-Analysis-Conclusion (PPDAC) cycle and software packages (such as Radiant) for hands-on data analysis, visualization and actionable insights generation.

Responsibilities:

In collaboration with the Departments of Statistics and Data Science, and of Mathematics, the Provost Office seeks Teaching Assistants/Course Instructors to lead engaging tutorial classes for GEA1000. Responsibilities include:

  • Leading engaging tutorial classes under the guidance of the Course Coordinator (course materials and training provided)
  • Monitoring student performance, supervising group projects, and providing timely support to improve student learning outcome
  • Designing and implementing new teaching materials and assessment tasks (training provided)
  • Grading assignments and assessments to evaluate student competency with prompt and constructive feedback to students (training provided)
Qualifications

Prerequisites:

  • A bachelor’s or master’s degree in a quantitative field (e.g., mathematics, statistics, physics, engineering, business analytics, economics) from a reputable university
  • Interest and ability for quantitative thinking. Prior experience in scientific research or data scientist/engineer role is a plus, but training will be provided
  • Interest and experience in teaching or mentoring students in a quantitative field is a plus, but training will be provided
  • Familiarity with common data analysis tools and software (e.g., Excel, R Studio, Python, Radiant or equivalent) is preferred, but training will also be provided

Benefits:

  • Competitive salary commensurate with role
  • Joy of working in a university environment
  • Professional development opportunities, including the possibility to pursue a master’s or PhD degree
  • Flexible work schedule outside of teaching semesters




Tell employers what skills you have

Mentoring
Data Analysis
Teaching
Literacy
Physics
Mathematics
Economics
Business Analytics
Statistics
Data Science

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