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Hamad Bin Khalifa University
1 month ago
Postdoctoral Researcher in Computer Vision, Deep Learning, and Machine Learning for Autism Assessment at Hamad Bin Khalifa University Hamad Bin Khalifa University in Qatar
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
Qatar
University
Hamad Bin Khalifa University

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About this position
Hamad Bin Khalifa University (HBKU), College of Science and Engineering, is recruiting a Postdoctoral Researcher for the A-Sense (Autism Sensing Center of Excellence) in Doha, Qatar.
The project focuses on computer vision, deep learning, and machine learning for behavioral analysis from video data related to autism assessment, classification, detection, and intervention. This is a strong fit for candidates interested in applied AI, video analytics, and health/assistive technology research.
Eligibility highlights: applicants should hold a Ph.D. in Computer Science or a related field with clear application in computer vision. The post also asks for strong experience in deep learning, machine learning, and computer vision; proficiency in Python and tools such as PyTorch, TensorFlow, Keras, and OpenCV; a strong publication record; and excellent English writing skills.
Appointment: the position is based at HBKU, Qatar Foundation, Doha, Qatar, with an initial appointment of one year, renewable based on performance and mutual interest.
How to apply: submit your application through the provided online form. The post encourages sharing with suitable candidates in your network.
Relevant research areas: computer vision, deep learning, machine learning, behavioral analysis, autism technology, video-based assessment, and assistive AI.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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