[ES_JOBS_NET] AI2ES Post-Doc on Meteorology & Machine Learning At UAlbany

[Bassill, Nicholas]

The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) is an NSF funded AI Institute that brings together universities, government, and private industry to develop trustworthy AI for environmental science. AI2ES will uniquely benefit humanity by developing novel, physically based AI techniques that are demonstrated to be trustworthy, and will directly improve prediction, understanding, and communication of high-impact environmental hazards.   For more information on AI2ES, please visit www.ai2es.org<http://www.ai2es.org>.

The University at Albany (UA) Atmospheric Sciences Research Center (ASRC) in Albany, NY seeks one postdoctoral associate with background in machine learning and/or the physical sciences (preferably atmospheric science).

AREA OF RESEARCH: Identification of Precipitation Type
Identification of precipitation type remains a major source of uncertainty for forecasters, particularly during winter. Research on this complex problem is critical as different precipitation types can be hazardous and wreak havoc on a number of sectors including transportation and utilities. Because the thermodynamic profiles that lead to different precipitation types can be quite similar, making the identification of precipitation type all that more difficult.

The state of New York provides a unique opportunity to tackle this problem: (1) A diverse geographical landscape spanning multiple climate regimes, (2) highly susceptible to all types of winter weather precipitation, and (3) home to the state-of-the-art highly dense NY State Mesonet. This network not only includes 126 surface stations across the state, but also 17 profiler sites with over 5 years of data, ripe with opportunity to explore the vertical profile of the atmosphere.

UA seeks a postdoctoral research associate to join the AI2ES team to lead the development of a model aiming to improve on predictions of precipitation type in the state of NY. The researcher will be responsible for developing machine-learned models and employing statistical techniques to identify patterns in meteorological (e.g., NYS Mesonet) and non-meteorological (e.g., power outages) datasets. The student will also be responsible for the visualization of results actionable to the end-user. Collaboration with NY State sectors are expected, as well as emergency managers and decision makers.

REQUIREMENTS:
(1)   A Ph.D. in Atmospheric Science or a related field, from a college or university accredited by the U.S. Department of Education or an internationally recognized accrediting organization.
(2)   Applicants must address in their application their ability to work with a culturally diverse population.
(3)   A demonstrated potential for research in the field of utilizing AI to study weather or climate problems.
(4)   Strong command of computational techniques, including Python and Linux CLI.
(5)   Prior experience with emphasis on model code development, evaluation, and interpretation of results.


For more information, contact Drs. Christopher Thorncroft (cthorncroft at albany.edu), Kara Sulia (ksulia at albany.edu), and Nick Bassill (nbassill at albany.edu).


Nick Bassill, PhD

Director of Research & Development, Center Of Excellence

Affiliated with NYS Mesonet

Room 468E - Center of Excellence

Harriman Campus; ETEC Building

1220 Washington Ave, Albany, NY 12226

Contact: (518) 442-6375 | @NickPBassill | http://operations.nysmesonet.org/~nbassill/
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