Postdoctoral Associate - Atmospheric Sciences Research Center

About University at Albany:

The University at
Albany is a Carnegie-classified Research 1 institution driven
by academic excellence, pioneering research and scientific
discovery, and service to community. UAlbany's world-class faculty experts and approximately 17,500 students are
creating new knowledge in fields such as artificial intelligence,
semiconductor engineering, atmospheric and environmental sciences,
cybersecurity, public health, public administration and social
welfare while deepening our understanding of our world through
scholarship and creative activity in the social sciences and
humanities. As one of the most diverse public research institutions
in the nation, the University is a national leader in public
engagement, educational equity and social mobility. For over 180
years, UAlbany has molded bright, curious and engaged students and
launched them toward success.

Located in Albany, New York, New York State's capital, the
University is convenient to Boston, New York City, and the
Adirondacks.

Job Description:

Dr. Sukanta Basu is an Empire Innovation Professor with Atmospheric
Sciences Research Center and is jointly appointed as a Professor
with the Department of Environmental & Sustainable Engineering.
His research activities, grants, and publications are available at:
www.sukantabasu.com.

The research group of Prof. Basu is contributing to a project
focused on understanding future climate conditions and
weather-related hazards across New York State. The project examines
multiple high-impact perils, including extreme wind gusts,
hurricanes, extratropical cyclones, tornadoes, hail, extreme
precipitation, and coastal and inland flooding. A central objective
is to generate high-resolution meteorological datasets using
complementary physics-based numerical models and artificial
intelligence-based downscaling methods.

Primary Responsibilities:

On a weekly basis, the post-doc will report their research findings
to Dr. Sukanta Basu. They will also make presentations to the
project sponsor on a regular basis. It is expected that the
post-doc will present the research findings at various
international conferences and disseminate them via peer-reviewed
journal publications.

• Physics-based modeling and analysis of meteorological

hazards

• AI-based modeling and analysis of meteorological hazards
• Statistical analysis of financial loss datasets
• Communication of research results through publications in

project reports, peer-reviewed journals, and presentations at
project meetings and conferences.

• Other reasonable duties as assigned

Functional and Supervisory Relationships:

• Reports to: Professor Sukanta Basu
• Supervises the following positions: N/A

Job Requirements:

• In-depth understanding of deep learning.
• Proficiency in various machine learning frameworks (e.g.,

Pytorch, Keras, Tensorflow, JAX)

• Strong communication skills and fluency in English.
• Ability to work productively in a research team.
• Applicants must demonstrate an ability to develop inclusive and

equitable relationships within our diverse campus community.

• Applicants must demonstrate an ability to support diversity,

equity, access, inclusion, and belonging relative to their
role.

Requirements:

Minimum Qualifications:

• PhD degree from a college or University accredited by the US

Department of Education or internationally recognized accrediting
organization.

• 1 to 5 years of relevant experience in atmospheric

modeling.

• Extensive experience in python programming.

Preferred Qualifications:

• 1 to 5 years of experience in machine learning.
• PhD degree in atmospheric science, meteorology, environmental

science, engineering, or a closely related field or related field
from a college or University accredited by the US Department of
Education or internationally recognized accrediting
organization.

• Working experience with mesoscale models (e.g., WRF)
• Peer-reviewed publications in atmospheric modeling

Working Environment:

• Typical office environment

Additional Information:

Professional Rank and Salary Range: Postdoctoral Associate,
SL1, $60,000-65,000.

Special Notes: Visa sponsorship is not available for this
position. If you currently need sponsorship or will need it in the
future to maintain employment authorization, you do not meet
eligibility requirements. Additionally, please note that UAlbany
is not an E-Verify employer.

The Jeanne Clery Disclosure of Campus Security Policy and Campus
Crime Statistics Act, or Clery Act, mandates that all Title IV
institutions, without exception, prepare, publish, and distribute
an Annual Security Report. This report consists of two basic parts:
disclosure of the University's crime statistics for the past three
years; and disclosures regarding the University's current campus
security policies. The University at Albany's Annual Security
Report is available in portable document format [PDF] by clicking
this link http://police.albany.edu/ASR.shtml

Pursuant to New York Labor Law 194-a, the University will not seek,
request, or rely upon an applicant's wage or salary history in
determining whether to interview, hire, or establish compensation
for an applicant. Applicants are not required to provide wage or
salary history information as a condition of employment
consideration. Salary history may only be verified in the limited
circumstances permitted by law.

If you have a disability and require a reasonable accommodation to
participate in the application process, including interviews,
please contact Rhonda Haines, the University's Designee for
Reasonable Accommodations (DRA) in the Office of Human Resources,
at rlhaines@albany.edu or (518) 437-4700; requests for
accommodation will be considered in accordance with applicable
law.

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Please apply online via http://albany.interviewexchange.com/candapply.jsp?JOBID=206298

Application Instructions:

Applicants MUST submit the following documents:

• Resume/CV
• Cover letter stating all the required minimum qualifications

and any of the applicable preferred qualifications

• Contact information for three professional references

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applying through this website.

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Preference will be given to applications received by November
15.