The University of Arizona is seeking to leverage artificial intelligence and speech technology to address the early detection of developmental disorders in children, aiming to improve intervention and long-term outcomes.
Requirements
- Backgrounds in one or more of the following fields: Computer Science, Electrical Engineering, Linguistics, Speech Language Pathology, or related disciplines.
- Demonstrated experience or strong interest in machine learning, signal processing, or clinical applications of technology.
- Speech, audio processing, and artificial intelligence, especially as applied to healthcare and education.
Responsibilities
- Developing AI-powered clinical applications for early childhood (under 3 years old).
- Speaker diarization: Identifying “who spoke when” in audio recordings.
- Vocalization classification: Distinguishing types of vocalizations from infants, toddlers, and adults.
- Phoneme recognition for toddlers (under 4 years old).
- Applications span various social contexts, including daylong home recordings and clinical settings.
- Building interdisciplinary speech applications that facilitate early identification of developmental disorders in children.
- Integrating AI-driven speech analysis with clinical and home-based data.
Other
- Highly motivated and passionate about interdisciplinary research.
- Eager to collaborate across disciplines and contribute to projects with real-world impact.
- Possess a growth mindset, strong analytical skills, and a commitment to advancing both scientific knowledge and societal well-being.
