Postdoctoral Positions Northeastern/Harvard – Network Science

Postdoctoral Research Associate
Network Science Institute @ Northeastern University
Division of Network Medicine @ Harvard University

The lab of Professor Albert-László Barabási, together with the Network Science Institute at Northeastern University and the Division of Network Medicine at Harvard University, is looking for postdoctoral associates in the area of network science and network medicine. We are seeking motivated individuals with network science experience and interest in applying it towards both social and biological systems. The ideal candidate has a physics, bioinformatics, computer science or mathematics PhD, and previous work experience in networks and/or bioinformatics.

For a range of projects characterizing the lab see www.barabasilab.com. Our current work spans the applications of network towards understanding human diseases, to quantifying success in scientific careers, or understanding the fundamentals of network dynamics.

We’d like to encourage all interested candidates to submit a formal application here:
Northeastern Jobs Internal Number: STFR001078

Direct applications and questions are welcome to ccnrpostdoc@gmail.com.

Yelp Dataset Challenge Winners

Congratulations to grand prize winners from Professor Jiawei Han’s group at UIUC. Jialu Liu, Jingbo Shang, Chi Wang, and Xiang Ren applied new techniques for mining high quality phrases from massive text corpora. In addition to working with English language corpora, Professor Han’s group has also tackled Chinese and Arabic, in collaboration with ARL researchers. Automated approaches to extract knowledge from vast amounts of heterogeneous and unformatted data are helping people improve planning and recognize emerging trends.

NetSci-X 2015 coming up

The NetSci-X Conference will be held in Rio de Janeiro, January 14-16, 2015. Leadings researchers examining networks from the perspectives of biological and environmental sciences, computer and information sciences, social sciences, and economics will gather for interdisciplinary collaboration. NS CTA researchers Jiawei Han and Albert-László Barabási are invited speakers.

Semantic Technology for Intelligence, Defense, and Security (STIDS) establishes Michael Dean Best Paper Award

The STIDS community recently established the Michael Dean Best Paper Award in recognition of his many and diverse contributions to the STIDS community. The award was presented for the first time at the STIDS conference this November. Mike Dean worked on the NS CTA program, researching semantic information theory and information modeling for composite networks.

NetSci 2014 symposium on the physics of human social behavior

The NetSci 2014 Symposium “Temporal Networks, Human Dynamics and Social Physics” will be held in Berkeley, CA, June 3 2014. The aim of the symposium is to bring together researchers interested in the use of network science and human behavioral data to improve our understanding of the physics of human social behavior. The symposium is in part organized by NSCTA researchers, with a variety of interesting talks lined up. The abstract deadline is May 1st.  For more information, please see our website: http://www.tnetsphys14.org/

Summer Schools for Network Science

The Summer School on Network Science at the University of South Carolina provides the opportunity for grad students or postdocs to share their current research and learn more about exciting developments in the field. The program features invited speakers and small group discussions, with the goal of fostering future collaboration. Registration for the two week session, May 20-31, costs $40; more information at http://imi.cas.sc.edu/events/summer-school-network-science/.

The Summer School on Network Science at Carnegie Mellon University welcomes graduate students, faculty, and personnel from industry, education and government to an intensive, hands-on introduction to dynamic network analysis and computational modeling of complex socio-technical system. The program runs June 9-16; more information at http://www.casos.cs.cmu.edu/events/summer_institute/2013/.

Leveraging Social Patterns for Communications Networks

The IEEE Transactions on Mobile Computing is spotlighting “On Exploiting Transient Social Contact Patterns for Data Forwarding in Delay-Tolerant Networks,” a paper by Wei Gao, Guohong Cao, Tom La Porta, and Jiawei Han. This paper will be available electronically for free during the next month, at http://www.computer.org/portal/web/tmc. This multi-genre NS CTA research explores a way to exploit short term patterns in social content to improve the flow of data in delay-tolerant networks.

Reality Commons Web Portal Launched

Alex (Sandy) Pentland and the Human Dynamics Lab of the MIT Media Lab are pleased to announce the launch of the Reality Commons web portal: http://realitycommons.media.mit.edu

On Reality Commons, we release four mobile data sets, collected from 2004 onward, that contain the dynamics of several communities of about 100 people each. We invite  researchers to propose and submit their own applications of the data to demonstrate the scientific and business values of the data sets, suggest how to meaningfully extend these experiments to larger populations, and to develop the math that fits agent-based or systems dynamics models to larger populations.

For general questions about the website or research studies, please contact Todd Reid, tgreid@media.mit.edu

For technical questions and specific inquiries about the data and datasets, please contact Wen Dong, wdong@media.mit.edu

Exploiting Friendship Relations for Efficient Routing in Mobile Social Networks

A paper about NS CTA research on Mobile Social Networks, by Eyuphan Bulut and Boleslaw K. Szymanski, was selected as the featured article in the December issue of IEEE TPDS. Their research considers how awareness of the strength and pattern of social links can be used to facilitate more efficient communications in a Delay Tolerant Network (DTN). This work is an example of the NS CTA’s emphasis on modeling and exploiting interactions between different network genres. See http://www.computer.org/portal/web/tpds for full article.

AAAS Session on Predictability: From Physical to Data Sciences

February 16, 2013. Boston, MA. The upcoming AAAS annual meeting will include a session focusing on understanding human systems and networked social phenomena using predictive tools from the physical sciences. Experts will speak on applying physical science tools to uncover and explain the mechanisms that drive collective social phenomena. The session is organized by Albert-Laszlo Barabasi, Northeastern University. Speakers will include:
Dirk Helbing, Swiss Federal Institute of Technology, Towards Simulating the Foundations of Society
Chaoming Song, Northeastern University, Limits of Predictability in Human Mobility
Marta Gonzalez, Massachusetts Institute of Technology, Understanding Road Usage Patterns in Urban Areas
Alessandro Vespignani, Northeastern University, From Human Mobility to Real Time Numerical Forecasts of Global Epidemic Spreading
Dirk Brockmann, Northwestern University, Are Pandemics Predictable?
Boleslaw Szymanski, Rensselaer Polytechnic Institute, On the Influence of Committed Minorities on Social Consensus

For more information: http://aaas.confex.com/aaas/2013/webprogram/Session5856.html

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