Postdocs and/or PhD Students: We are excited to announce open positions for Postdocs and/or PhD students in cutting-edge deep learning research, focusing on using speech as a biomarker for early detection of neurodegenerative disorders, specifically Parkinson’s disease. This interdisciplinary project brings together experts in deep learning, neuroscience, neuropsychology, and communication disorders. Successful candidates will be affiliated with McGill University or Concordia University, collaborating with The Centre for Research on Brain, Language and Music (CRBLM) and the Mila-Quebec AI Institute.
Summary Table:
| Opportunity | Deep Learning Research for Neurodegenerative Disorders |
|---|---|
| Study Area | Neurodegenerative Disorders, Deep Learning, Speech Biomarkers |
| Scholarship Description | Innovative diagnostic tools development using speech samples, medical images, and patient records |
| Eligibility | Master’s degree in CS, ECE, BME, or a relevant field; Proficiency in machine learning and deep learning methodologies |
| Required Documents | CV, Brief Statement of Interest |
| How to Apply | Email application to Prof. Mirco Ravanelli at mirco.ravanelli@concordia.ca, with Prof. Denise Klein in cc at denise.klein@mcgill.ca |
| Last Date | Applications accepted until position filled |
Study Area: The primary focus of this scholarship is on neurodegenerative disorders, particularly Parkinson’s disease, utilizing deep learning techniques for early detection through speech biomarkers.
Scholarship Description:
Opportunity in Deep Learning Research for Neurodegenerative Disorders
This project provides a unique opportunity to contribute to cutting-edge research using a substantial dataset, aiming to advance our understanding of neurodegenerative disorders and develop innovative diagnostic tools. The collaboration spans deep learning, neuroscience, and communication disorders, offering a comprehensive approach to research.
Eligibility: Applicants should hold a Master’s degree in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, or a relevant field. Proficiency in machine learning and deep learning methodologies is essential, along with excellent programming skills, particularly in Python and PyTorch. Previous experience with speech and medical data is preferred, and candidates with publications in conferences/journals such as NeurIPS, ICML, ICLR, ICASSP, and Interspeech are highly considered.
Required Documents: Interested candidates should submit 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.
How to Apply: Please send your 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 the high volume of applications, we won’t be able to respond to every submission. All applications will be thoroughly reviewed, but only shortlisted candidates will be contacted for an interview. During the interview process, expect questions related to machine learning and deep learning, including coding questions.
Last Date: Applications will be accepted until position filled. Act promptly to seize this opportunity in deep learning research for neurodegenerative disorders.
Don’t miss out on this chance to be part of groundbreaking research at the intersection of deep learning and neurodegenerative disorders. Apply now and contribute to advancing our understanding of these complex conditions.
