Unveiling Opportunities, Join the Pioneering Deep Learning Research on Neurodegenerative Disorders in Canada
Are you passionate about delving into the realms of deep learning and contributing to groundbreaking research on neurodegenerative disorders? This is your chance! Exciting opportunities for Postdocs and/or PhD students are now available in Canada, focusing on utilizing speech as a biomarker for the early detection of Parkinson’s disease.
In this article, we will explore the key aspects of this interdisciplinary project, shedding light on the collaboration between McGill University, Concordia University, The Centre for Research on Brain, Language and Music (CRBLM), and the Mila-Quebec AI Institute.
Deep Learning Research for Neurodegenerative Disorders
Overview
The primary focus of this opportunity lies in the field of neurodegenerative disorders, with a specific emphasis on Parkinson’s disease. The project employs cutting-edge deep learning techniques to analyze speech biomarkers for early detection.
Study Area:
• Neurodegenerative Disorders
• Deep Learning
• Speech Biomarkers
Scholarship Description
Innovative Diagnostic Tools Development:
This project presents a unique chance to contribute to pioneering research, utilizing a substantial dataset to advance our understanding of neurodegenerative disorders. The ultimate goal is to develop innovative diagnostic tools through the analysis of speech samples, medical images, and patient records.
Eligibility
Academic Background:
Applicants are required to hold a Master’s degree in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, or a relevant field.
Skills Proficiency:
• You need to be really good at using machine learning and deep learning techniques.
• Excellent programming skills, particularly in Python and PyTorch.
• Previous experience with speech and medical data is preferred.
• Candidates with publications in renowned conferences/journals such as NeurIPS, ICML, ICLR, ICASSP, and Interspeech are highly considered.
Application Process
Required Documents:
Interested candidates are required to submit their:
• CV
• Brief Statement of Interest
How to Apply:
Send your application via email to Prof. Mirco Ravanelli at mirco.ravanelli@concordia.ca, with Prof. Denise Klein in cc at denise.klein@mcgill.ca.
Application Deadline:
Applications will be accepted until the position is filled. Due to the high volume of submissions, responses may be limited. Shortlisted candidates will be contacted for an interview, which will include questions related to machine learning and deep learning, including coding questions.
Act Now!
Don’t miss the chance to be part of groundbreaking research at the intersection of deep learning and neurodegenerative disorders. Seize this opportunity by applying now and contribute to advancing our understanding of these complex conditions. Act promptly, as applications will be accepted until the position is filled.
Summary of Open Positions
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 methodologles |
Required Documents | CCV, Brief Statement of Interest |
How to Apply | Email application to prof. Mirco Ravanell at mirco. ravanell@concordia.ca with prof Denise klein in cc at denise.klein@mcgil.ca |
Last Date | Applications accepted until position field |