Research Assistant (NIE-LSA)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading educational institution in Singapore is seeking a Research Assistant for an 18-month contract focused on improving machine predictions and enhancing human metacognition through AI. The ideal candidate should have a Bachelor's degree in relevant fields and proficiency in Machine Learning and Python. Responsibilities include building AI models and implementing reinforcement learning algorithms. The application is through Workday, and only shortlisted candidates will be contacted.

Qualifications

• Bachelor’s Degree in computer science, data science, software engineering.
• Proficiency in Machine Learning, Deep Learning, Python, Data Science, and AI/ML toolkits.

Responsibilities

• Build and improve AI models for multimodal emotion inference.
• Implement reinforcement learning algorithms that process human feedback.
• Perform other administrative duties as assigned.

Skills

Machine Learning

Python

Data Science

Software Engineering

Artificial Intelligence

Data Analysis

Education

Bachelor’s Degree in a relevant discipline

Master’s or PhD Degree in a relevant discipline

Job description

The National Institute of Education (NIE) invites suitable applications for the position of Research Assistant on an 18-month contract in the Learning Sciences and Assessment Department.

Project Title: Open Emotion Learner Modeling to improve machine predictions and improve human metacognition

Project Introduction: We are hiring a Research Assistant for an 18-month project focused on using Artificial Intelligence (AI) to help students learn better by managing their emotions. The project tackles two main issues:

• Making AI better at reading emotions: Current AI models often miss the real-world context of emotions in a classroom. We will build a system that obtains human feedback over time. This feedback will help the AI learn and make more accurate emotional guesses as it goes.
• Helping students understand their emotions: Students often do not know how to handle their feelings when tasks get hard. We will design Open Emotional Learner Models (OELMs) – profiles that show students their emotional patterns – to encourage reflection and self-management. We will test different interaction modes (view only, edit, suggestion) to determine the most effective approach.

Requirements:

• Bachelor’s Degree in a relevant discipline (e.g., computer science, data science, software engineering).
• Proficiency in Machine Learning, Deep Learning, Python, Data Science, and AI/ML toolkits.

Preferred:

• Master’s or PhD Degree in a relevant discipline.
• Strong practical experience in machine learning and software development.

Responsibilities:

• Build and improve AI models for multimodal emotion inference (audio, video, etc.).
• Implement reinforcement learning algorithms that process human feedback to iteratively improve the AI models.
• Perform other administrative duties as assigned by Principal Investigators.

Application: Applicants (external and internal) will apply via Workday. Only shortlisted candidates will be notified.

Closing Date: 14 calendar days from posting.

Hiring Institution: National Institute of Education (NIE).

Required Skills:

• Machine Learning
• Cell
• Psychology
• Classroom
• Data Analysis
• Modeling
• Artificial Intelligence
• Software Engineering
• Python
• Molecular Biology
• Publications
• Data Science
• Requisition
• Laboratory
• Software Development