Teaching Assistant

National University of Singapore; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

L'Université Nationale de Singapour recherche des individus passionnés pour le rôle d'Assistant d'Enseignement / Instructeur de Cours pour GEA1000, un cours clé sur la littératie des données. Vous participerez à l'enseignement et à l'évaluation des performances des étudiants, tout en ayant l'opportunité de développer de nouveaux matériels pédagogiques et de contribuer à la formation des étudiants dans des domaines quantitatifs variés.

Benefits

Salaire compétitif

Opportunités de développement professionnel

Horaires de travail flexibles

Qualifications

• Diplôme en domaine quantitatif requis (Mathématiques, Statistiques, etc.).
• Compétences en analyse de données et outils mentionnés favorisées.
• Intérêt et expérience pour l'enseignement en domaine quantitatif appréciés.

Responsibilities

• Diriger des classes de tutorat sous la direction du Coordinateur de cours.
• Superviser les projets de groupe et évaluer la performance des étudiants.
• Concevoir et mettre en œuvre de nouveaux matériels pédagogiques.

Skills

Analyse de données

Pensée quantitative

Mentoring

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

Excel

RStudio

Python

Radiant

Job description

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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
• Monitoring student performance, supervising group projects, and providing timely support to improve student learning outcome
• Designing and implementing new teaching materials and assessment tasks
• Grading assignments and assessments to evaluate student competency with prompt and constructive feedback to students

Course materials and training will be provided.

Qualifications

Prerequisites:

• A Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Engineering, Business Analytics or Economics) from a reputable university
• Familiarity with common data analysis tools and software (e.g., Excel, RStudio, Python, Radiant or equivalent) is preferred
• Interest and ability for quantitative thinking. Prior experience in scientific research or data scientist/engineer role is an advantage
• Interest and experience in teaching or mentoring students in a quantitative field is a plus
  
  Benefits:
• Competitive salary commensurate with role
• Professional development opportunities, including the possibility to pursue a master’s or PhD degree
• Flexible work schedule outside of teaching semesters