Research Associate (Office of Graduate Studies and Professional Learning)[NIE]

Nanyang Technological University; Singapore; On-site; SGD 40,000 - 80,000; Full time

Job summary

An established industry player in education seeks a Research Associate for a project focusing on enhancing children's fundamental movement skills through technology. This role involves developing innovative assessment tools and educational resources using computer vision and machine learning techniques. Collaborating with educators, you will co-create interventions to improve throwing proficiency among primary school students. This is an exciting opportunity to contribute to children's holistic development while working in a dynamic team environment. If you're passionate about technology and education, this position offers a unique chance to make a meaningful impact.

Qualifications

• Master's degree in computer science or related discipline required.
• Proficient in Python and experience with MediaPipe is essential.

Responsibilities

• Develop movement assessment tools using computer vision techniques.
• Create educational resources for teaching throwing to children.

Skills

Python

Pose Estimation

Biomechanical Concepts

Signal Processing

Project Management

Communication Skills

Education

Master's Degree in Computer Science

Bachelor's Degree in Related Field

Tools

MediaPipe

Graphic Design Software

Animation Tools

Job description

The National Institute of Education invites suitable applications for the position of Research Associate on a 10-month contract at the Office of Graduate Studies and Professional Learning.

Project Title: Teaching Fundamental Movement Skills in Primary School: Technology Enhanced Pedagogy for Improving Throwing in Children [ERFP 13/23 KPW]

Project Introduction: Fundamental Movement Skills (FMS) are essential for children’s holistic development and lifelong health. This project will develop educational resources and FMS assessment tools incorporating technology such as computer vision and machine learning techniques. The effectiveness of using a technology-enhanced pedagogical intervention for enhancing throwing proficiency in children will be evaluated in a primary school.

Requirements:

• A Master’s degree in computer science, digital media, sport science or related scientific discipline. Candidates with Bachelor's degree may be considered for a Research Assistant position

• Proficient in writing Python code independently

• Experience with and pose estimation using MediaPipe

• Good knowledge in biomechanical concepts and signal processing methods for analysing human movement data

• Experience in graphic design, interactive media, animation and/or deploying markerless motion capture on edge devices is a plus

• Excellent organization and project management skills

• Ability to communicate effectively orally and in writing

• Comfortable to work in a team environment

Responsibilities:

• To develop movement assessment tools using computer vision and machine learning techniques (e.g. pose estimation)

• To create educational resources for teaching throwing to primary school children (e.g. digital media, animation)

• To co-develop a technology-enhanced pedagogical intervention with teachers and school leaders

• To support a school-based intervention for enhancing throwing proficiency in children

• To collect and analyse research data on throwing proficiency in children

• To assist with ethics application, compliance monitoring and reporting

• To manage project administration and research data

• To supervise student assistants supporting the project

• To prepare project reports and presentations

• To assist with manuscript writing and data visualization

• Other duties as assigned by PI

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.