Hiring.Camp

Post-Doctoral Researcher

Mcgill

·

Yesterday

Location
Burnside Hall, Canada
Type
Full-time
Department
Education
Education
PhD
Closing date
Today
Source
Workday

Description

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:

The Department of Atmospheric and Oceanic Sciences at McGill University invites applications for a postdoctoral scholar in atmospheric moist convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles. Potential observational sources include data from field campaigns, long-term observational deployments, and operational satellite and radar. The numerical experiments will include large-eddy simulations over large domains, where the clouds and their interactions with mesoscale circulations are simultaneously resolved. The candidate will join a dynamic research group focused on convective-scale processes and their representation in atmospheric prediction models. The initial appointment is for a term of one year but may be extended upon satisfactory performance and available funding.

Job description:

  • Using large-eddy simulations and observations for guidance, build a quantitative conceptual understanding of the critical factors controlling cumulus life cycles
  • Develop and critically evaluate new physical model(s) for cumulus life cycles based on the above findings
  • Publish results in high-impact peer-reviewed journals

Qualifying Skills:

  • Ph.D. in meteorology, atmospheric science, or closely related field
  • Experience in the study of clouds and cumulus convection
  • Strong conceptual understanding of cloud microphysical and turbulent processes
  • Expertise in the use of modern scientific visualization software (Python, Matlab, etc.)
  • Demonstration of scientific productivity, as evidenced by journal articles and other published work
  • Demonstration of scientific communication, primarily through conference and workshop presentations

Application materials

  • Up-to-date curriculum vitae
  • Contact information for three professional references

Postdocs at McGill must remain within 5 years of being awarded their Ph.D. throughout their appointment.


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.

Annual Salary:

$62,000.00

Hours per Week:

35 (Full time)

Location:

Burnside Hall

Supervisor:

Professor

Position Start Date:

2026-11-01

Position End Date:

2027-10-31

Deadline to Apply:

2026-10-17

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

PythonWorkday

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