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Description

The Center for Data Science (CDS) and the Center for Atmosphere Ocean
Science (CAOS), a unit of the Department of Mathematics within the Courant
Institute of Mathematical Sciences at New York University seeks candidates
for one (1) open-rank joint faculty position, anticipated to begin in
September 2024. Faculty members are expected to be outstanding scholars and
to participate in teaching at all levels from undergraduate to doctoral.

We seek to develop our strength at the interface between machine learning
and science, leveraging advances in data science. Machine learning has the
possibility of transforming our ability to model multi-scale physics,
chemistry and biology. We are particularly focused on expanding in the area
of data science for physics applications (e.g., fluid dynamics, climate
science) and computational applied sciences with machine learning.

This search is part of a cluster hire in Predicting Climate Change and its
Impacts: From the Global to Urban Scale that includes the departments of
Mathematics and Computer Science in the Courant Institute of Mathematical
Sciences, Civil and Urban Engineering in the Tandon School of Engineering,
and the Center for Data Science. Advances in climate science prediction
will require transformative developments in and between mathematics, data
science, computer science, physics, engineering and geoscience. More
information about this cluster, and NYU's broader Faculty Cluster Hiring
Initiative, can be found here
<https://cfa.hosting.nyu.edu/recruitment/faculty-cluster-initiative/>, and
here <https://cfa.hosting.nyu.edu/recruitment/cluster-proposals/>. A few
faculty positions will be advertised as part of this cluster search, with
the intention of creating a diverse, inter-disciplinary cohort to devise
cutting-edge research and curricular development.

The Center for Data Science (CDS) is the focal point for New York
University’s university-wide efforts in Data Science. The Center was
established in 2013 to advance NYU’s goal of creating a world-leading Data
Science training and research facility, and arming researchers and
professionals with the tools to harness the power of Big Data. Today, CDS
counts 20 jointly appointed interdisciplinary faculty housed on three
floors of our magnificent 60 5th Avenue building, one of New York City’s
historic properties. It is home to a top-ranked MS in Data Science program,
one of the first PhD programs in Data Science, and a new undergraduate
program in Data Science, as well as a lively Fellow and Postdoctoral
program. It has over 60 associate and affiliate faculty from 25 departments
in 9 schools and units. With cross-disciplinary research and innovative
educational programs, CDS is shaping the new field of Data Science.

The Courant Institute’s Mathematics Department is a world-renowned center
for applied mathematics (including math for data science and machine
learning), scientific computing, PDEs, analysis, probability, geometry and
other fields. Courant is also the home of NYU’s department of Computer
Science, which is a leader in machine learning and AI, among other fields.

CDS and the Courant Institute (both Math and CS) host vibrant
interdisciplinary PhD programs and a number of faculty hold joint
appointments at the Center for Data Science and the Courant Institute.

In compliance with NYC’s Pay Transparency Act, the annual base salary range
for this position is $125,000 - $185,000.
Qualifications

A PhD in applied math and/or applied physics or a related quantitative
field is required.
Application Instructions

Applications can be submitted through our Interfolio application page.
<https://apply.interfolio.com/68757> Please include a cover letter, CV, a
short statement of your research and teaching interests, and at least three
confidential recommendation letters. We encourage applicants to include a
brief statement describing how your research, teaching, and service
contributes to diversity and inclusion.

Applications and supporting documents received by Friday, December 1, 2023
will receive full consideration.
<https://twitter.com/NYUDataScience>

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