Postdoc Researcher: AI for Gait Analytics & Fall Risk

Singapore ETH-Centre; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading research institution in Singapore is seeking a researcher to investigate the movement patterns of older adults using wearable sensors. The role involves developing machine learning models to analyze gait data and assess fall risk. Candidates should have a PhD in a relevant field and at least 2 years of experience in machine learning, particularly in healthcare applications. This position offers a multidisciplinary environment collaborating with experts in various fields.

Benefits

Equal opportunity employer

Multicultural work environment

Focus on work-life balance

Qualifications

• Minimum 2 years of experience in machine or deep learning.
• Expertise in predictive model development for healthcare applications.
• Strong foundation in machine learning algorithms and study design.

Responsibilities

• Investigate movement patterns among older adults.
• Acquire movement data using wearable sensors.
• Generate machine learning models to assess fall risk.

Skills

Machine learning

Deep learning

Statistical analysis

Experimental design

Feature extraction

Communication

Education

PhD in computer science, computer vision, neuroscience, physics, or biomedical engineering

Tools

Python

PyTorch

Matlab

R

Tensorflow

Job description

A leading research institution in Singapore is seeking a researcher to investigate the movement patterns of older adults using wearable sensors. The role involves developing machine learning models to analyze gait data and assess fall risk. Candidates should have a PhD in a relevant field and at least 2 years of experience in machine learning, particularly in healthcare applications. This position offers a multidisciplinary environment collaborating with experts in various fields.