[Students-l] Fwd: [Sigmetrics] New deadline: January 1st. NSF-NRT PhD Fellowship in Complex Networks and Systems at IU
Michel Menou
michel.menou at orange.fr
Wed Nov 22 11:16:46 EST 2017
-------- Forwarded Message --------
Subject: [Sigmetrics] New deadline: January 1st. NSF-NRT PhD Fellowship
in Complex Networks and Systems at IU
Date: Wed, 22 Nov 2017 03:58:32 +0000
From: Borner, Katy <katy at indiana.edu>
To: SOCNET at LISTS.UFL.EDU <SOCNET at LISTS.UFL.EDU>,
SCISIP at LISTSERV.NSF.GOV <SCISIP at LISTSERV.NSF.GOV>, ASIS&T Special
Interest Group on Metrics <SIGMETRICS at listserv.utk.edu>,
sigmetrics at mail.asis.org <sigmetrics at mail.asis.org>,
'infovis at infovis.org' <infovis at infovis.org>, 'POLNET-L at LISTSERV.SIU.EDU'
<POLNET-L at LISTSERV.SIU.EDU>,
ieee_vis_open_positions at listserv.uni-tuebingen.de
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Dear all,
Please share the below Fellowship opportunity with interested students.
Happy Thanksgiving everyone,
k
*From:* Rocha, Luis M.
*Sent:* Monday, November 20, 2017 11:34 AM
*Subject:* [CNS-NRT-Faculty] New deadline: January 1st. NSF-NRT PhD
Fellowship in Complex Networks and Systems
*NEW DEADLINE: Applications Due January 1, 2018*
Interdisciplinary Training in Complex Networks and Systems
Understanding complex networked systems is key to solving some of the
most vexing problems confronting humankind, from discovering how dynamic
brain connections give rise to thoughts and behaviors, to detecting and
preventing the spread of misinformation or unhealthy behaviors across a
population. Graduate training, however, typically occurs in one of two
dimensions: experimental and observational methods in a specific area
such as biology and sociology, or in general methodologies such as
machine learning and data science.
With more and more students seeking to gain sufficient expertise in
mathematical and computational methods on top of domain-specific
laboratory and social analysis methodologies, a greater demand for more
efficient interdisciplinary training is emerging. The Indiana University
National Science Foundation Research Traineeship
<https://cns-nrt.indiana.edu/> (NRT) addresses this growing need with an
integrated dual PhD program that trains students to be “bidisciplinary”
in Complex Networks and Systems (CNS) and another discipline of their
choosing from the natural and social sciences. It will seamlessly
integrate traditional education with interdisciplinary hands-on research
in a culture of academic and human diversity.
The training program capitalizes on the new Indiana University Network
Science Institute (IUNI) <https://iuni.iu.edu/>. The Institute's 165+
faculty members will serve in interdisciplinary PhD program committees
to be co-chaired by research mentors from both CNS and the target
empirical domain. Project-driven, team-based research at IUNI will
seamlessly integrate academic education with interdisciplinary
hands-on scientific and industrial research. Trainees will learn to
connect the general-purpose, computational expertise of CNS to the deep,
domain-specific research methodologies of the natural, behavioral, and
social sciences thus bridging the gap between distinct training
cultures. They will be a new breed of STEM scientists that escapes the
silos of disciplinary training to address the complex problems of the
21st century.
*NEW DEADLINE: Applications Due January 1, 2018*
**
For more information on how to apply please contact:
infograd at indiana.edu <mailto:infograd at indiana.edu>. For information
about research and academic components, please see our website
*https://cns-nrt.indiana.edu <https://cns-nrt.indiana.edu/>*, contact
the program director Prof. Luis M Rocha
<mailto:rocha at indiana.edu?subject=NSF-CNS-NRT%20Inquiry>, or other
members of the executive committee:**
CNS-NRT Animated LogoExecutive Committee
·Luis M. Rocha <https://www.informatics.indiana.edu/rocha/>, Director
·Katy Börner <http://info.ils.indiana.edu/%7Ekaty/>, Evaluation
Committee Chair
·Bernice Pescosolido
<https://iuni.iu.edu/people/person/bernice-pescosolido>, Colloquia and
Outreach Committee Chair
·Armando Razo <http://polisci.indiana.edu/faculty/profiles/arazo.shtml>,
Education and Training Committee Chair
·Olaf Sporns <http://psych.indiana.edu/faculty/osporns.php>, Recruiting
and Admissions Committee Chair
·Tara Holbrook
<https://www.soic.indiana.edu/all-people/profile.html?profile_id=230>,
Project Coordinator
Research Themes
Complex networks and systems
Network neuroscience
Social network science
Health & health care
Science of science
Finance and economy networks
Biological and chemical networks
Many others
Program Benefits
$34,000 stipend on prestigious NSF Fellowship
Tuition and health insurance
Develop dual proficiency
Interdisciplinary training
Early integration in research via Indiana University Network Science
Institute (IUNI)
National and international internships
Academic and industrial professional development including travel support
Diverse, collaborative cohorts
Interaction with world-renowned external board members and speakers
NSF fellow must be US citizens residents. IU fellowships and NRT
affiliates available for international students.
**
*Academics*
Dual PhD program in CNS and another domain such as Biology, Chemistry,
Cognitive Science, Economics, Psychological and Brain Sciences,
Sociology, Political Science, Physics, etc. Hands-on training in
general-purpose methodologies of CNS, computational and data science, as
well domain-specific methodologies of a chosen natural, behavioral, or
social science.
______________________________________________________
Luis Mateus Rocha, Professor of Informatics and Cognitive Science
Director, NSF-NRT Interdisciplinary Training in Complex Networks and Systems
Center for Complex Networks and Systems Research
School of Informatics, Computing, and Engineering
Indiana University, 919 E. 10th St
Bloomington IN, 47408, USA
http://informatics.indiana.edu/rocha
and
Instituto Gulbenkian de Ciência, Oeiras, Portugal
http://www.igc.gulbenkian.pt/research/unit/76
______________________________________________________
Any analytical approach to understanding simplicity always turns out to
be very complex. (Howard Pattee)
______________________________________________________
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