- Location
- Montreal Neuro., Canada
- Type
- Full-time
- Department
- Education
- Seniority
- Entry
- Education
- PhD
- Closing date
- Today
- Source
- Workday
Description
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Position Summary:
We are seeking a highly skilled and motivated Research Associate to lead the technical development and management of neuro-foundation models. Working closely with the research team at Mila and the McGill community, the successful candidate will play a critical role in developing our specialized public codebase (NeuroGalaxy) and supporting the broader open-source community.
RESPONSIBILITIES:
Codebase Management: Overseeing the continued development and maintenance of a large, specialized public code base for creating neuro-foundation models (NeuroGalaxy).
Quality Assurance: Debugging the code base, managing the GitHub repository, and approving new pull requests from the community of users.
Technical Documentation: Creating robust, accessible documentation for the code base, as well as public-facing websites and tutorials for new users.
Resource & Grant Support: Providing estimates of compute costs associated with different components of the code base for different model and dataset sizes. Writing specialized technical analyses of existing compute usage on the DRAC and Mila clusters for use in grant applications.
Model Analysis & Integration: Analyzing new models generated by the community and incorporating their designs into the codebase.
Benchmarking & Training: Training models created by the Mila community, benchmarking them against existing models, and maintaining a list of critical benchmarks alongside a leaderboard.
Collaboration: Liaising with other neuro-foundation model development groups in academia and industry to foster partnerships and track advancements.
Minimum Qualifications:
A PhD in neuroscience, computer science, or a related field.
More than 2 years of proven experience with creating, releasing, and maintaining large-scale open-source code bases.
Familiarity with the most common types of neural data file formats (e.g., NWB, NIDS, etc.).
Extensive experience training AI models on high-performance GPU clusters.
Knowledge of French and English: McGill University is an English-language university where day to day duties may require 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.
This position is covered by the AMURE collective agreement: https://www.mcgill.ca/hr/files/hr/2023-2027_collective_agreement_amure_ras_final_-_with_signatures_-_for_printing_cover_page_reviewed.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.
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:
Hours per Week:
Location:
Supervisor:
Position Start Date:
Position End Date:
Deadline to Apply:
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].
