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Job Description

In this position, you will be working on end-to-end data pipeline implementation from understanding research objectives, data collection using cameras and wearable sensor technology, exploratory data analysis, cleaning and pre-processing of raw data, modelling (using Machine Learning/Deep Learning techniques) and sharing of insights to stakeholders using visualizations. The goal is to find a relationship between qualitative and quantitative data in order to understand passengers preferences and improving the passengers inflight experience. You will work closely with hardware engineers, design researchers and project manager to successfully collect data from sensors in a cabin stimulator, leverage predictive modelling and provide meaningful insights.

Requirements

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

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Research Engineer, Data Analyst job with NATIONAL UNIVERSITY ... - Times Higher Education