The College of Information Technology at the United Arab Emirates University
is looking for a good Research Assistant to join the AI & Robotics Lab to do
research in Elderly Physical and Mental Health Monitoring and Anomaly
Detection Based on the Daily Activities of Living Using Deep Learning. This
project aims to develop an intelligent real-time monitoring system with edge
computation on embedded devices using cameras. The system is aimed to detect
elderly living alone, monitor their daily movements, detect anomalous
movements, and evaluate mental and physical health by machine learning models
trained on in-house collected datasets from thermal cameras. The candidate
should have a bachelor’s degree and be willing to join a master’s degree
program at UAEU. The candidate for this position should preferably have a
degree in Computer Science, Electronics, or any related field, have excellent
abilities in analyzing a problem and finding a solution, learning/adopting new
technologies, consistency, working on Python and Machine Learning tools, and
good written and verbal communication skills in English. They should be highly
motivated to engage in research, be capable of working independently and be
open to exploratory work which may demand changing directions and picking up
new skills on the go as required. Candidates should expect to learn excellent
programming skills to develop full-stack application programs in any of the
mainstream mobile platforms and exhibit an appetite for building experimental
proof-of-concept systems using open-source tools and off-the-shelf hardware
platforms. It is also an expectation that the candidate will contribute
towards setting up pilot trials, subsequent scale-up, and dissemination of
this work. Only short-listed candidates will be contacted.
Minimum Qualification
The candidate for this position should have a bachelor’s degree in Computer
Science, Electronics, Mechatronics, and Communications Engineering or any
related field
Preferred Qualification
The candidate for this position should preferably have a degree in Computer
Science, Electronics, or any related field, have excellent abilities in
analyzing a problem and finding a solution, learning/adopting new
technologies, consistency, working on Python and Machine Learning tools, and
good written and verbal communication skills in English.
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