Postdoctoral Fellow, Machine Learning on Weather and Hazards, May 2021
The Center of Excellence in Earth Systems Modeling and
Observations (CEESMO) at Chapman University invite applications for
a Postdoctoral research associate in machine learning application
on severe weather and natural hazards beginning in May 2021.
Chapman University is a nationally ranked institution offering traditional undergraduate and graduate programs in the heart of Orange County, one of Southern California’s most diverse and vibrant regions. The university achieved R2 status in the Carnegie Classification of Institutions of Higher Education, a distinction held by just 10 percent of all U.S. universities. Our faculty include academic leaders who excel in research, publishing and world-class teaching in our 11 schools and colleges, as well as 14 Independent Research Centers. More information can be found https://www.chapman.edu/ Additional information about the Center of Excellence in Earth Systems Modeling and Observations (CEESMO) at Chapman University can be found at https://www.chapman.edu/scst/research/centers-of-excellence/earth-observing/index.aspx
The University is committed to achieving a diverse faculty and staff and encourages members of underrepresented groups to apply. More information on diversity and inclusion at Chapman can be found at www.chapman.edu/diversity
A Ph.D. or an equivalent of a doctoral degree in atmospheric sciences, environmental sciences, ecosystem science, or a related discipline as well as experience in applying machine-learning techniques to solve atmospheric and environmental science issues. Having experience in satellite and/or in-situ data processing and applications is highly desired. The doctorate or equivalent must have been awarded within the last five years and candidate must not have exceeded five years of prior postdoctoral experience.
The successful candidate will join an interdisciplinary research team that conducts research from severe weather phenomena to regional climate change and its impacts on various sectors such as agroecosystem, air pollution and wildfire. They will develop machine-learning models for research related to severe weather prediction, wildfire danger estimation, land use and land cover changes, air pollution, with remote sensing, ground observation and modeling datasets. Under mentorship, the successful candidate will work closely with international collaborators, present results at international meetings, and publish them in high-impact journals.
Candidates should electronically submit a cover letter, CV,
statements of research, and contact information for three
professional references to firstname.lastname@example.org. Please use “Post Doc
Application” as the email subject line.
Inquiries may be directed to Dr. Seung Kim at email@example.com or Dr. Menas Kafatos at firstname.lastname@example.org.
File review will commence on March 12, 2021 and will continue until the position is filled. Successful completion of a background check is required for the final candidate. This position is subject to final budget approval.
Chapman University is an equal opportunity employer committed to fostering a diverse and inclusive academic global community. The University is dedicated to enhancing diversity and inclusion in all aspects of recruitment and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law. The University is committed to achieving a diverse faculty and staff and encourages members of underrepresented groups to apply.
Chapman University, One University Drive, Orange, CA 92866 Human Resources Department