Postdoctoral Associate - Earth and Atmospheric Sciences

The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University's second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach.

The Department of Earth and Atmospheric Sciences at Cornell University seeks a postdoctoral associate to develop innovative approaches to hurricane risk assessment through a new industry-academic partnership. This is a two- or three- year position supported by direct industry partnership and Atkinson Center funding and renewed annually upon satisfaction of progress and availability of funds.

Position Function

We seek a candidate with strong capabilities in hurricane modeling and risk assessment, and demonstrated experience in one or several of the following areas: Tropical cyclone dynamics and thermodynamics; Statistical and/or machine learning approaches to weather prediction; Risk assessment and catastrophe modeling; High-performance computing and large dataset manipulation.

The position involves close collaboration with industry partners in climate risk assessment, focusing on: Development of novel approaches to synthetic storm generation; Implementation of counterfactual analysis for historical storms; Integration of climate pattern effects (e.g., ENSO) into risk models; Regular engagement with industry partners through direct consultation.

Anticipated Division of Time

Development of Novel Approaches to Synthetic Storm Generation - 40%; Implementation of Counterfactual Analysis for Historical Storms - 25%; Integration of Climate Pattern Effects (e.g., ENSO) into Risk Models - 25%; Regular Engagement with Industry Partners and Scientific Community - 10%.

Requirements

Ph.D. in Atmospheric Sciences, Climate Science, or related field. Proficiency in scientific programming (Python, R, MATLAB, or equivalent) is required. Experience with atmospheric modeling or ability to work with large-scale climate datasets is recommended. The ideal candidate will have strong written and verbal communication skills for scientific and public-facing audiences, as well as the ability to manage project timelines and deliverables independently. Driving is not a requirement for this position.

To apply

Qualified candidates should submit a cover letter, curriculum vitae, and contact information for three references via the website. Applications will be reviewed as received, continuing until a suitable applicant is identified.

CALS hiring rate for this position is $63,480.