Research Assistant 2

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Hiring Unit:

Department of Atmospheric and Oceanic Sciences

Position summary:

• Conduct organized research focused on active and passive remote sensing of clouds and precipitation systems with minimal supervision.
• Contribute to the writing of technical reports and collaborate on the conceptual design and writing of scientific articles.
• Utilize ground-based and space-based observational data for research activities.

Qualifying Skills:

• Experienced in applying machine learning and data science tools (TensorFlow, PyTorch, pandas, NumPy, Scikit‑learn) to analyze and model complex atmospheric and environmental datasets.
• Proficient in multi-language scientific and technical programming, including Python, C++, Java, Embedded C, LaTeX, and Swift, for developing algorithms, simulations, and research workflows.
• Skilled in research methodology, including modeling & simulation, quantitative data analysis, and producing clear, high‑quality technical and scientific documentation.

Experience and education:

• Master's degree in atmospheric sciences or a relevant discipline (including computer science).
• Experience with remote sensing techniques and data, atmospheric physics.

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 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:

$31.44

Hours per Week:

35 (Full time)

Location:

Burnside Hall

Supervisor:

Adjunct Professor

Position Start Date:

2026-03-24

Position End Date:

2027-04-30

Deadline to Apply:

2026-04-07

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].