The Computer and Network Engineering Department at the United Arab Emirates University is seeking a highly motivated postdoctoral research fellow to join our team focused on developing a smart sensing framework for human activity and behavior prediction to improve health and mental health for a healthy lifestyle. The successful candidate will work in collaboration with other researchers to develop smart sensing framework and explore the synergy between the wearable Internet of Things (WIoT), brain connectivity network analysis, software-defined radio signaling, and artificial intelligence to find the minimum set of sensors to capture daily activities and neurological diseases for a better quality of life. Responsibilities: • Design and develop integrated smart sensing testbed for Synergy between the Wearable, Brain Signaling, and RF Sensors for Human Activities and Emotion Recognition • Conduct experiments to validate the performance and functionality of the developed systems in realistic scenarios. • Develop Data Driven AI, Machine Learning, and Deep Learning Models • Publish research findings in high-impact journals and conferences. • Collaborate with other team members and industry partners to develop and implement new sensing and communication applications for neurological diseases.

A PhD in Computer Engineering, Electrical Engineering, Computer science or a related field.

PhD in Computer Engineering, Electrical Engineering, Computer science or a related field. •Proven knowledge and experience in Sensing Technologies (Wearable, RF, and Brain Signaling) •Deep understanding of signals pre-processing techniques •Knowledge of AI, Machine Learning, Deep Learning, and Explainable AI •Proficiency in programming languages such as Python, LabView, MATLAB, or C++. •Excellent written and oral communication skills.

•Expertise in integrated sensing technologies and IoT/WoT, including hardware and software design. •Proven Knowledge of Data Driven AI, Machine Learning, and Deep Learning Models.

8,500-10,000 AED

30/04/2024