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The Department of Mechanical Engineering at McGill University is seeking a Research Assistant 2 for the AI Platform Development for Collaborative Autonomy research project under the supervision of Professor Inna Sharf.
This role will contribute to the development of advanced artificial intelligence technologies that support collaborative autonomy systems, with a focus on machine learning, intelligent decision-making, perception, and autonomous system integration.
This is a unionized position, and the incumbent will be a member of the AMURE (Research Associates and Assistants) bargaining unit.
Responsibilities:
- Develop and optimize AI and machine learning algorithms for collaborative autonomy applications.
- Design, train, validate, and evaluate AI models using both simulation environments and real-world datasets.
- Implement and test AI models and software components.
- Integrate AI models into autonomous co-planning and decision-making frameworks.
- Prepare and maintain technical documentation, reports, and records of research progress.
- Assists the Research Supervisor in conducting research projects using established protocols with minimal or no supervision.
Qualifications:
- Master's degree in Computer Science, or an equivalent field.
- Possesses specialized knowledge of the field or discipline acquired through a Master’s Degree
- Strong knowledge of machine learning fundamentals, including graph-based learning, foundation models, reinforcement learning, and deep learning techniques.
- Knowledge of artificial intelligence methodologies and modern AI frameworks for developing, training, and deploying intelligent systems.
- Experience with perception, computer vision, sensor fusion, or autonomous systems.
- Proficiency in Python, Rust, and C/C++ for the development and implementation of AI and machine learning applications.
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.
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.
Hourly Salary:
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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
- Master's degree in Computer Science or an equivalent field
- Specialized knowledge of the relevant field or discipline acquired through a Master's degree
- Strong knowledge of machine learning fundamentals, including graph-based learning, foundation models, reinforcement learning, and deep learning
- Knowledge of artificial intelligence methodologies and modern AI frameworks for developing, training, and deploying intelligent systems
- Experience with perception, computer vision, sensor fusion, or autonomous systems
- Proficiency in Python, Rust, and C/C++
- Authorization to work in Canada
- Willingness to work in Quebec at the position's campus location
- English verbal and written communication skills
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.
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