Research Assistant 2

at  McGill University

Please refer to the
How to Apply for a Job (for External Candidates)
job aid for instructions on how to apply.
If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).
Hiring Unit:
Department of Atmospheric and Oceanic Sciences

Position Summary:

• Conduct advanced research on light scattering properties of stratospheric aerosol particles.
• Investigate aerosol optical properties and their implications for climate modeling and atmospheric science.
• Develop and execute computational models for simulating light scattering, utilizing Mie theory, T-matrix methods, or other relevant frameworks.
• Design and establish protocols for systematic analysis of aerosol particle interactions with light.
• Collaborate with experimentalists to validate model predictions against laboratory or field data.
• Perform comprehensive data analysis to extract meaningful trends in scattering properties.
• Conduct literature searches to stay updated with the latest developments in aerosol modeling and related methodologies.
• Integrate model results with observational or experimental data to refine understanding of stratospheric aerosols.
• Provide recommendations based on model outputs for scientific publications, climate policy discussions, or future research directions.
• Contribute original ideas to improve existing modeling techniques and explore novel approaches to aerosol-light interactions.
• Interpret findings to generate insights into the role of aerosols in atmospheric processes.
• Prepare manuscripts for peer-reviewed journals and present findings at scientific conferences

Other Qualifying Skills and/or Abilities:

• Strong background in atmospheric science, physics, or related fields.
• Proficiency in computational modeling techniques, particularly in light scattering theories (e.g. Mie theory, T-matrix methods, or ray-tracing models).
• Familiarity with aerosol science and understanding of stratospheric particle properties.
• Expertise in programming languages such as Python, MATLAB, R, or Fortran for scientific computations.
• Experience with simulation software or tools used in aerosol and optical modeling.
• Strong skills in data analysis, including handling large datasets, statistical evaluations, and visualization.
• Ability to interpret and synthesize complex datasets into actionable insights.
• Proven ability to conduct independent research and contribute to team-based projects.
• Strong scientific writing skills for preparing reports, publications, and conference presentations.
• Ability to develop and refine modeling approaches for complex aerosol-light interactions.
• Strong analytical thinking and innovative approach to addressing research challenges.
• Effective verbal and written communication skills for engaging with interdisciplinary teams.
• Ability to present technical concepts to both expert and non-expert audiences.
• Experience with high-performance computing and cloud-based computational resources is an asset.

Experience and education:

• Master’s degree (or equivalent experience) in atmospheric science, physics, or a related discipline.

Location: This position is located in Montreal, Quebec and the work for this position is expected to be performed in Quebec.
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 #3 on a scale of 0-4.
Hourly Salary:
$30.75
Hours per Week:
35 (Full time)
Location:
Burnside Hall
Supervisor:
Associate Professor
Position Start Date:
2025-01-27
Position End Date:
2025-04-30
Deadline to Apply:
2025-01-23
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

Please refer the Job description for details