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PhD Student
PhD Position – AI & Speech-Language Pathology Full-time NEW
Project Overview
Speech and language disorders affect millions of children worldwide, limiting communication and quality of life. This PhD project will explore the use of Reinforcement Learning (RL) to create an intelligent decision support system that helps personalize speech-language therapy. The system will adapt to each child’s progress, providing tailored recommendations to support therapists and improve outcomes.
The candidate will work in a multidisciplinary environment bridging AI, neuroscience, and clinical research, with opportunities to collaborate internationally and contribute to the development of innovative therapeutic technologies.
Candidate Profile
- Master’s degree in Speech-Language Pathology, Neuroscience, Psychology, Cognitive Science, Biomedical Sciences, Biomedical Engineering, or related field.
- Experience with machine learning (preferably RL) and applications in health or therapy.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
- Familiarity with speech processing, ASR, NLP, and speech-language disorders and neurodevelopmental disorders is an asset.
- Strong teamwork and communication skills.
Funding & Conditions
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Minimum 27,000 CAD/year stipend, guaranteed until independent funding is secured.
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Additional support available for conferences and training.
Application Instructions
Submit the following as a single PDF:
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Curriculum vitæ
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Transcripts
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Cover letter
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Contact details of two references