About this Research Assistant 2 role at McGill University
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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
- Utilize ground-based and space-based observational data for research activities
- Perform research tasks independently, with the ability to follow established protocols and procedures
Other Qualifying Skills and/or Abilities:
- Experienced in applying machine learning and data science tools (TensorFlow, PyTorch, pandas, NumPy, Scikit-learn) to analyse 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 and simulation, quantitative data analysis and producing clear, high-quality technical and scientific documentation
- Maintain accuracy, consistency and scientific vigor
Experience and Education:
- Master's Degree in atmospheric sciences, engineering 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 based / located.
Knowledge of 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 of #3 on a scale of 0-4.
Hourly Salary:
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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, accessibilityrequest.hr@mcgill.ca.
