The Old Dominion University (ODU) Research Foundation is seeking applications for a Post-Doctoral Research Associate to join an NSF-funded project to explore North Atlantic tropical cyclone (TC) activity over the last millennium by combining sediment paleoclimate proxies and models. The postdoc will develop methods to integrate TC models with existing paleo hurricane proxies to improve understanding of how TCs respond to natural climate variability/external forcing factors on multi-decadal to centennial timescales. The successful candidate will work directly with Dr. Lizzie Wallace at the Department of Ocean and Earth Sciences at ODU and collaborate with the whole project team including Drs. Sylvia Dee (Rice University), Gabriel Vecchi (Princeton University) and Kerry Emanuel (MIT). The position requires a PhD in (Paleo)climate science, meteorology, applied mathematics/statistics or other related fields with a strong interest in applying statistics to paleoclimate data, numerical/statistical and geospatial modeling and scientific computing (e.g., Matlab, Python, etc.) specifically.
Applications will be accepted until 5 pm EST on October 19.

Job Responsibilities:

Job Duties:

• Numerical/statistical and geospatial modeling.
• Writing peer-reviewed articles.
• Doing career boosting activities (i.e., writing grants, job applications)
• Presenting scientific research

Other Duties as Assigned

Visit http://researchfoundation.odu.edu/ then click on the employment tab and follow the link. Please include a CV, a cover letter, and the contact information for three references.

Specify position #22-054. Applications will be accepted until 5 pm EST on October 19. Review of applications will begin on October 24th and will continue until the position is filled AA/EOE/M/F/D/V/DFW.

Equity Statement:

It is the policy of Old Dominion University Research Foundation to provide equal employment, educational and social opportunities for all persons, without regard to race (or traits historically associated with race including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, sex or gender (including pregnancy, childbirth, or related medical conditions), national origin, gender identity or expression, age, veteran status, disability, political affiliation, sexual orientation or genetic information. Minorities, women, veterans, and individuals with disabilities are encouraged to apply.