[Students-l] Fwd: [Sigmetrics] NSF-NRT PhD Fellowships in Complex Networks and Systems at Indiana University

[Michel Menou]

-------- Forwarded Message --------
Subject: 	[Sigmetrics] NSF-NRT PhD Fellowships in Complex Networks and 
Systems at Indiana University
Date: 	Wed, 25 Oct 2017 10:08:58 +0000
From: 	Borner, Katy <katy at indiana.edu>
To: 	SCISIP at LISTSERV.NSF.GOV <SCISIP at LISTSERV.NSF.GOV>, 
sigmetrics at mail.asis.org <sigmetrics at mail.asis.org>, 
ieee_vis at listserv.uni-tuebingen.de <ieee_vis at listserv.uni-tuebingen.de>



Dear all,

Please encourage your best students to apply for this prestigious PhD 
Fellowship Opportunity.

See research areas and program benefits below.

Best regards from IU,

k

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.

*Applications Due December 1*

**

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:**

Executive 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.

-- 

Katy Borner

Victor H. Yngve Distinguished Professor of Engineering and Information 
Science

Director, CI for Network Science Center, http://cns.iu.edu

Curator, Mapping Science exhibit, http://scimaps.org

ISE and ILS, School of Informatics and Computing, Indiana University

Wells Library 021, 1320 E. Tenth Street, Bloomington, IN 47405, USA

Phone: (812) 855-3256  Fax: -6166


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