Postdoctoral Researcher: Cumulus Convection & Modeling

McGill University; Montreal (administrative region); On-site; GBP 47,000 - 49,000; Full time

Job summary

McGill University in Montreal 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 work combines observations and high-resolution simulations to gain new conceptual insights on cloud life cycles, including large-eddy simulations over large domains.

Qualifications

• 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 modern visualization software (Python, Matlab, etc.)
• Demonstration of scientific productivity, evidenced by journal articles and other publications.

Responsibilities

• 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

Skills

Clouds & convection

Concep. understanding of clouds

Scientific productivity

Scientific communication

Visualization software

Education

Ph.D. in meteorology/atmospheric science

Tools

Python

MATLAB

Job description

McGill University in Montreal 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 work combines observations and high-resolution simulations to gain new conceptual insights on cloud life cycles, including large-eddy simulations over large domains.