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Position Summary:
The Research Associate will work in collaboration with the Research Supervisor, to develop and conduct research projects, and is responsible for achieving the project’s objectives. The work will be focused on investigating, analyzing and writing up projects related to building a program for speech-based monitoring of neurodegeneration using behavioural and neuroimaging datasets combined with machine learning/artificial intelligence methods. The Research Associate will have significant experience in research into neurodegenerative disorders using speech and deep learning technologies. They will establish the design and development of the research methods, the data collection and analysis, and the interpretation of results. They will lead the analysis and interpretation of research data and the dissemination of the results. They will work with collaborative teams on the multidisciplinary aspects of the research projects and will also participate in the supervision of trainees, if required.
Qualifications:
PhD in computer science required. Experience in linguistics and a strong work record designing and implementing core architecture for a toolkit that can run experiments for any machine learning task that has speech as an input.
Other Qualifying Skills and Abilities:
Excellent written and verbal communication skills.
Ability to guide graduate students and summer trainees.
Ability to work in a multidisciplinary team environment.
Strong organization skills, attention to detail and priority setting skills.
Ability to work autonomously in a complex, changing, deadline-oriented environment.
Advanced knowledge of machine learning for speech analysis.
This position is covered by the AMURE Collective agreement. http://www.aerum-amure.ca/wp-content/uploads/2023/07/AMURE-2023-2027.pdf
Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
Knowledge of English: McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing. The level of English required for this position has been assessed at a level 4 on a scale of 0-4.
For a definition of our language proficiency levels, please click here.
Hourly Salary:
Hours per Week:
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Supervisor:
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This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement.
McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected].
Skills Required
- PhD in computer science
- Experience in linguistics
- Strong record designing and implementing core architecture for a toolkit to run experiments for ML tasks with speech input
- Advanced knowledge of machine learning for speech analysis
- Experience in research into neurodegenerative disorders using speech and deep learning technologies
- Excellent written and verbal communication skills
- Ability to guide graduate students and summer trainees
- Ability to work in a multidisciplinary team environment
- Strong organization skills, attention to detail and priority setting skills
- Ability to work autonomously in a complex, changing, deadline-oriented environment
What We Do
McGill University is a public research university with extensive research activities across various engineering disciplines, including civil and materials engineering, focusing on areas like construction materials and advanced manufacturing.
