[Job-offers-cs] Purdue University College of Science Search for Assistant/Associate Professors in Physical Science and Data Science

[Pekka Orponen]

-------- Forwarded Message --------
Subject: 	[SIAM-DY] Purdue University College of Science Search for 
Assistant/Associate Professors in Physical Science and Data Science
Date: 	Tue, 5 Nov 2019 22:19:05 +0000
From: 	Tung, Wen-wen <wwtung at purdue.edu>
To: 	Pekka Orponen <pekka.orponen at aalto.fi>
CC: 	The Dynamical Systems SIAG mailing list <siam-dy at siam.org>


*Assistant/Associate Professors--Physical Science and Data Science*

*Job Summary*

The College of Science at Purdue University invites applications for 
multiple positions in “Physical Science and Data Science” at the 
Assistant or Associate Professor level beginning August 17, 2020. 
Assistant Professor candidates with exceptional qualifications may be 
considered for an early career endowed professorship. This opportunity 
is coordinated with concurrent searches in “Computer Science, 
Mathematics, and Statistics focused on Data Science” and “Data Science 
in the Life Sciences.”

*Qualifications*

These positions come at a time of new leadership and with multiple 
commitments of significant investment for the College of Science. We 
particularly encourage candidates who demonstrate the potential for 
collaboration across multiple disciplines. We expect that most faculty 
hired through this search will have interdepartmental joint 
appointments. College of Science Departments hosting research related to 
Physical Science include: Chemistry <https://www.chem.purdue.edu/>, 
Earth, Atmospheric, and Planetary Sciences 
<https://www.eaps.purdue.edu/>, and Physics and Astronomy 
<https://www.physics.purdue.edu/>, as well as Computer Science 
<https://www.cs.purdue.edu/>, Mathematics 
<https://www.math.purdue.edu/>, and Statistics 
<https://www.stat.purdue.edu/>. Candidates must have a Ph.D. (or its 
equivalent) in a closely related field.

Successful candidates are expected to develop a vigorous, externally 
funded, internationally recognized theoretical, computational, 
experimental, and/or observational research program that addresses 
research questions of fundamental importance. They are also expected to 
teach undergraduate and/or graduate courses to a diverse student body 
and supervise graduate students. Successful candidates will combine an 
outstanding record of research excellence with a commitment to effective 
and engaged teaching in both physical science and data science. 
Candidates should have a broad understanding of the numerical and 
analytic methods in data science, including machine learning, for 
physical science subject matters, along with the software systems that 
implement them.

The candidate’s program is expected to complement existing research 
within the home department and teaching needs at the undergraduate and 
graduate levels. The potential to develop one or more of the following 
areas is desirable.

* Development and application of data science and machine learning 
methods to all areas of chemistry, including computational chemistry, 
measurement science, analytical chemistry, organic chemistry, physical 
chemistry, and biological chemistry, or

* Development and application of data intensive computations in the 
fields of numerical astrophysics and cosmology, or

* Development of techniques in big data/astrostatistics in a variety of 
astronomical sub-fields with increasingly large data sets, or

* Development and application of advanced data science methods to areas 
of atmospheric sciences, including but not limited to computational 
geofluid dynamics, clouds and convection, climate systems, severe 
weather, subseasonal-to-seasonal prediction, atmospheric chemistry, and 
remote sensing of Earth or other planetary atmospheres, or

* Development and application of data science methods to large-scale 
problems in solid-earth geosciences, including but not limited to those 
of theoretical and applied geophysics, seismology, geodynamics, 
tectonophysics, geochemistry, and energy science.

*The University, College and Departments*

Purdue University <https://www.purdue.edu/> is a public land-grant 
university in West Lafayette, Indiana. Purdue Discovery Park 
<https://www.purdue.edu/discoverypark/> provides open, collaborative 
research environments with over 25 interdisciplinary centers, 
institutes, and affiliated project centers, most notably the Integrative 
Data Science Initiative <https://www.purdue.edu/data-science/>. The 
Rosen Center for Advanced Computing <https://www.rcac.purdue.edu/> 
offers advanced computational resources and services with local HPC 
clusters, research data storage, and data networks. It is the campus 
liaison to NSF XSEDE and Open Science Grid.

As a part of the Physics and Astronomy department, the Astrophysics 
group has a strong funding record by the major agencies. NSF is strongly 
invested in LSST, advanced LIGO, and IceCube; all areas of research 
focus in the group. Inter-departmental efforts to connect with faculty 
in Computer Science and Statistics in the broad scope of Data Science 
are underway to develop a state-of-the-art classification and strategy 
engine for LSST. The group has leadership in theoretical and data 
intensive numerical modeling of Astrophysical sources making extensive 
use of the Purdue as well as NASA and NSF clusters.

The Department of Earth, Atmospheric, and Planetary Sciences has a 
Geodata Science Initiative that merges geosciences and data science 
strategically in research and education. Select participants conduct 
transdisciplinary collaborative research in the nexus of weather, 
climate, environment, resources, energy, and society, supported by HPC 
clusters with GPU, Hadoop, or Spark systems. The Geodata Science for 
Professionals MS program is an agent for industrial partnerships.

*Application Procedure:*

Applicants should submit a cover letter, a curriculum vitae, a teaching 
statement, and a description of proposed research electronically at 
https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=8002&company=purdueuniv&username=. 
Additionally, applicants should arrange for three letters of reference 
to be e-mailed to the search committee at physdatasci at purdue.edu, 
specifically indicating the position for which the applicant is 
applying. Applications will be held in strict confidence and will be 
reviewed beginning December 1, 2019. Applications will remain in 
consideration until positions are filled. Inquiries can be sent 
to_physdatasci at purdue.edu .

Purdue University’s College of Science is committed to advancing 
diversity in all areas of faculty effort, including scholarship, 
instruction, and engagement. Candidates should address at least one of 
these areas in the cover letter, indicating past experiences, current 
interests or activities, and/or future goals to promote a climate that 
values diversity, and inclusion. Salary and benefits are competitive, 
and Purdue is adual-career friendly 
<https://www.purdue.edu/hr/partner/dualCareer/index.html> employer.

Purdue University is an EOE/AA employer. All individuals, including 
minorities, women, individuals with disabilities, and veterans are 
encouraged to apply.

__________________________________

Wen-wen Tung, PhD

Associate Professor
Director of GeoData Science for Professionals (GDSP) MS Program
Earth, Atmospheric, and Planetary Sciences

Purdue University
550 Stadium Mall Drive
West Lafayette, IN 47907-2051
http://www.eaps.purdue.edu/tung/index.html
http://www.eaps.purdue.edu/gdsp

EAPS Geodata Science Initiative
https://www.eaps.purdue.edu/research/geodata/