[ES_JOBS_NET] Postodc, Miami FL, Precipitation Forecasting

[Marybeth Arcodia]

Dear all,

The following is an advertisement for a *Post Doctoral Associate -
Improving Subseasonal Precipitation Forecasts with Machine Learning*

The University of Miami Rosenstiel School of Marine, Atmospheric, and Earth
Science is seeking to hire a Post Doctoral Associate to work at the
intersection of atmospheric science and machine learning to improve
subseasonal precipitation forecasts. The postdoc will be working to develop
a real-time forecasting tool to improve U.S. Week 3-4 precipitation
forecasts with innovative data science methods to provide uncertainty
quantification. Machine learning will be applied to identify when, where,
and why forecasts can be considered forecasts-of-opportunity. This position
seeks candidates with a background in atmospheric and climate science,
particularly on subseasonal timescales, and experience using machine
learning methods. The postdoc will be advised by Dr. Marybeth Arcodia and
includes collaborative efforts with Dr. Emily Becker and the NOAA Climate
Prediction Center. Interested candidates should apply here
<https://umiami.wd1.myworkdayjobs.com/UMCareerStaff/job/Miami-FL/Post-Doctoral-Associate---Improving-Subseasonal-Precipitation-Forecasts_R100089116>
.

*Key responsibilities*
Train neural networks and quantify uncertainty to evaluate predictability
Perform explainable AI (XAI) related research to determine areas of
enhanced predictability
Work closely with collaborators to design the machine-learning based
forecasting tool to be used by Climate Prediction Center forecasters
Visit the Climate Prediction Center to foster collaboration and promote
successful development of the forecasting tool, with the potential for
transition to operations
Publish findings in peer-reviewed academic journals and present findings at
scientific workshops and conferences

*Required qualifications*
Minimum educational qualification is a Ph.D. or equivalent in fields
including but not limited to Atmospheric or Climate Science, Environmental
Science, Data Science, or other related fields
Strong capabilities and demonstrated experience working with large climate
datasets, high performance computing, and machine learning
Demonstrated experience working both independently and collaboratively
Publication record in peer-reviewed academic journals performing
high-quality research
Strong written and oral communication skills
Desire to work both independently and in a diverse team setting with
collaborators and graduate students

*Preferred qualifications*
Demonstrated research experience on the topics of explainable machine
learning, particularly applied to climate science problems
Demonstrated research experience with subseasonal forecasting or
predictability
Start date/ Appointment term: Fall 2025. The position is for one year with
the possibility for extension.

*Required application materials*: Cover letter, 2 page (max) statement of
research experiences and interests that address the required and preferred
job qualifications and curriculum vitae.

The University of Miami is an Equal Opportunity Employer -
Females/Minorities/Protected Veterans/Individuals with Disabilities are
encouraged to apply. Applicants and employees are protected from
discrimination based on certain categories protected by Federal law. Click
here for additional information.

For general inquiries, please reach out to Marybeth Arcodia (
marcodia at earth.miami.edu).

Thanks,
Marybeth
---------------------------------
*Marybeth C. Arcodia*
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