Postdoctoral Opportunity in Biomedical Signal Processing and Artificial Intelligence
Positions: Postdoctoral Research Fellow
Project Area: Biomedical Signal Processing, Machine Learning, Deep Learning
Application Deadline: August 31th, 2025
We are pleased to announce exciting opportunities for a Postdoctoral Research Fellow within our Research Group at the ECE department of the SOE at LAU. Our team is dedicated to advancing pediatric epilepsy care through innovative technologies, and we are seeking highly motivated individuals to contribute to our research on seizure detection systems. The postdoctoral role is for 6 months and can be renewed for an additional 6 months, providing a monthly stipend and annual conference travel support.
The selected candidate will work on a funded project aimed at developing a seizure detection system utilizing wearable ECG technology. By applying deep learning techniques, we strive to create customized algorithms that analyze ECG data to detect seizures, providing timely warnings to enable preventive actions. This initiative aims to enhance the quality of life for children with epilepsy.
Qualifications
- The Candidate Must hold a Ph.D. in Computer Engineering or a closely related field, with a strong background in biomedical signal processing, machine learning, and deep learning. Experience with wearable ECG technology and a proven publication record in relevant peer-reviewed journals are considered assets. The successful candidate will be expected to conduct experiments, analyze data, mentor undergraduate students and publish findings.
Application
To apply, please submit your CV, a cover letter detailing your research interests, experience, publications and contact information for two references to lina.abouabbas@lau.edu.lb.
The application deadline is August 31th, 2025. Interviews will be conducted on a rolling basis until the position is filled.
LAU is an equal opportunity employer and encourages candidates of all above mentioned backgrounds to apply. We are committed to fostering a diverse and inclusive research environment.