[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 
<ieee_vis_open_positions at listserv.uni-tuebingen.de>



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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