Doctoral Student (Ph.D.): Exciting opportunities are available for Postdocs and/or PhD students to engage in cutting-edge deep learning research focused on using speech as a biomarker for early detection of neurodegenerative disorders, particularly Parkinson’s disease. This project is part of a highly cross-disciplinary initiative, bringing together deep learning experts, neuroscientists, neuropsychologists, and specialists in communication and speech disorders. Join us in advancing our understanding of neurodegenerative disorders and contributing to the development of innovative diagnostic tools.
Deep Learning Research Opportunities for Neurodegenerative Disorders
1) PhD Position
| Criteria | Details |
|---|---|
| Designation | PhD Researcher |
| Research Area | Deep Learning for Neurodegenerative Disorders |
| Location | McGill University or Concordia University |
| Eligibility/Qualification | Master’s degree in CS, ECE, BME, or relevant field |
| Key Skills | Machine learning, deep learning, Python, PyTorch |
| Additional Skills | Previous experience with speech and medical data, publications in relevant conferences/journals |
| Equity and Diversity | Encouraged; women and minorities strongly encouraged to apply |
| Starting Date | Early 2024 |
| Salary | Competitive for PhD students |
2) Postdoc Positions (Two Positions)
| Criteria | Details |
|---|---|
| Designation | Postdoctoral Researchers |
| Research Area | Thermo-Hydro-Mechanical Modeling of Geomaterials, Landslides, and Climate Change |
| Location | McGill University or Concordia University |
| Eligibility/Qualification | Track record in relevant field, expertise in constitutive and numerical modeling |
| Key Skills | Advanced experimental soil mechanics, publications in relevant conferences/journals |
| Equity and Diversity | Encouraged; women and minorities strongly encouraged to apply |
| Duration of Fellowship | 12 months; renewable based on performance |
| Starting Date | May 2024 |
| Salary | Competitive for Postdocs |
How to Apply: Interested candidates should send their CV and a brief statement of interest to Prof. Mirco Ravanelli at mirco.ravanelli@concordia.ca, with Prof. Denise Klein in cc at denise.klein@mcgill.ca. Due to a high volume of applications, only shortlisted candidates will be contacted for an interview.
Supervisors:
- Dr. Mirco Ravanelli: Assistant Professor at Concordia University, Adjunct Professor at the Université de Montréal, and Associate Member at Mila-Quebec AI Institute. Founder and leader of the SpeechBrain project, with research interests in deep learning for sequence processing and Conversational AI.
- Dr. Denise Klein: Professor in Neurology and Neurosurgery (McGill), Director of the Centre for Research on Brain, Language, and Music. An expert in cognitive neuroscience, language representation, organization, and brain plasticity for language.
About Montreal: Montreal is a major global hub for artificial intelligence (AI) research. Home to institutions like MILA-Quebec AI Institute and Applied AI Institute at Concordia, the city fosters collaboration with renowned AI labs of Google, Samsung, Microsoft, IBM, Nuance, and Facebook.
Disclaimer: This job post is sourced from a reliable channel. Applicants are advised to check the official McGill University and Concordia University websites for further information and verification. The universities reserve the right to modify or withdraw the job post as deemed necessary. All interested candidates are encouraged to apply, and application details and deadlines should be confirmed from the official sites.
