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Postdoctoral Position in Computational and Experimental Social Neuroscience

The Human Brain and Behavior Laboratory (HBBL), Center for Complex Systems and Brain Sciences at Florida Atlantic University (FAU) invites applications for a Postdoctoral Position in Experimental and Computational Social Neuroscience.

 

The research program aims to advance our understanding of basic forms of real-time social behavior.  This new NIMH-supported program employs a three-pronged approach that combines (1) experimental studies aimed at  elucidating how neuromarkers are organized dynamically during the course of social interaction (2) the design and analysis of the Human Dynamic Clamp (reciprocal coupling between humans and mathematical models of a social partner) and (3) multiscale neurocomputational modeling of both structure and function.

 

The postdoctoral scientist will be highly motivated and able to work independently. He/she will also collaborate within an interdisciplinary team of researchers whose expertise spans Neuroscience, Psychology and Physics. The successful applicant will contribute to the design and conduct of neurobehavioral experiments and to theoretical modeling in which social interactions are treated as meaningfully coupled dynamical systems (Coordination Dynamics).

 

Candidates should have a PhD degree or equivalent. Experience or willingness to learn in one or more relevant domains will be considered an advantage:

- Theoretical modeling, dynamical systems          

- Preparation and conduct of social, neurobehavioral and neurocognitive experiments

- Recording and analysis of brain activity and behavior (e.g. EEG, MEG, fMRI, etc)

- Digital signal processing and statistical analysis

- Programming (Matlab, C, visual basic),

- Excellent writing skills

 

The position will be for one year with a good possibility of extension depending on satisfactory progress. Salary will be commensurable with experience. Review of applications will begin immediately and continue until the position is filled. Qualified candidates should send a CV and arrange for 3 reference letters via email to:

 

J. A. Scott Kelso & Emmanuelle Tognoli,

kelso at ccs.fau.edu, tognoli at ccs.fau.edu

www.ccs.fau.edu/hbbl.html

HBBL, Center for Complex Systems & Brain Sciences,

Florida Atlantic University,

Boca Raton, FL

USA

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CxAnnouncements
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Live Tweetcast of CCS'17: The Conference on Complex Systems 2017

Live Tweetcast of CCS'17: The Conference on Complex Systems 2017 | CxAnnouncements | Scoop.it

September 17-22

Cancun, Mexico

 

Follow the CCS'17 action with the hashtag #CCS17 and through @ccs17mx.

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ITMO University Professorship Program

This program is aimed at strengthening the internationalization of the educational experience for scholars, students and the University.

Professorship extends to a variety of fields (link to chairs) and is open to highly qualified professionals who hold a doctorate degree and are affiliated with World’s Top Universities.

From lecturing the curriculum of double degree programs to presenting short-term courses, there’s variety of opportunities to contribute to topical expertise and cutting-edge teaching methods.

International professors can expect a student-oriented learning environment with an emphasis on real-world, global experience. They will also enjoy personal attention of ITMO University’s Foreign Students and Scholars Office that not only will help professors and their families to smoothly relocate, but also make the best out of their time in St. Petersburg.
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Entropy Special Issue "Information Decomposition of Target Effects from Multi-Source Interactions"

Entropy Special Issue "Information Decomposition of Target Effects from Multi-Source Interactions" | CxAnnouncements | Scoop.it
Shannon information theory has provided rigorous ways to capture our intuitive notions regarding uncertainty and information, and made an enormous impact in doing so. One of the fundamental measures here is mutual information, which captures the average information contained in one variable about another, and vice versa. If we have two source variables and a target, for example, we can measure the information held by one source about the target, the information held by the other source about the target, and the information held by those sources together about the target. Any other notion about the directed information relationship between these variables, which can be captured by classical information-theoretic measures (e.g., conditional mutual information terms) is linearly redundant with those three quantities.

However, intuitively, there is strong desire to measure further notions of how this directed information interaction may be decomposed, e.g., how much information the two source variables hold redundantly about the target, how much each source variable holds uniquely, and how much information can only be discerned by synergistically examining the two sources together. These notions go beyond the traditional information-theoretic view of a channel serving the purpose of reliable communication, considering now the situation of multiple communication streams converging on a single target. This is a common situation in biology, and in particular in neuroscience, where, say, the ability of a target to synergistically fuse multiple information sources in a non-trivial fashion is likely to have its own intrinsic value, independently of reliability of communication.

The absence of measures for such decompositions into redundant, unique and synergistic information is arguably the most fundamental missing piece in classical information theory. Triggered by the formulation of the Partial Information Decomposition framework by Williams and Beer in 2010, the past few years have witnessed a concentration of work by the community in proposing, contrasting, and investigating new measures to capture these notions of information decomposition. Other theoretical developments consider how these measures relate to concepts of information processing in terms of storage, transfer and modification. Meanwhile, computational neuroscience has emerged as a primary application area due to significant interest in questions surrounding how target neurons integrate information from large numbers of sources, as well as the availability of data sets to investigate these questions on.

This Special Issue seeks to bring together these efforts, to capture a snapshot of the current research, as well as to provide impetus for and focused scrutiny on newer work. We also seek to present progress to the wider community and attract further research. We welcome research articles proposing new measures or pointing out future directions, review articles on existing approaches, commentary on properties and limitations of such approaches, philosophical contributions on how such measures may be used or interpreted, applications to empirical data (e.g., neural imaging data), and more.

Dr. Joseph Lizier
Dr. Nils Bertschinger
Prof. Michael Wibral
Prof. Juergen Jost
Guest Editors
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Announcing Unpaywall: unlocking #openaccess versions of paywalled research articles as you browse

Announcing Unpaywall: unlocking #openaccess versions of paywalled research articles as you browse | CxAnnouncements | Scoop.it

Today we’re launching a new tool to help people read research literature, instead of getting stuck behind paywalls. It’s an extension for Chrome and Firefox that links you to free full-text as you browse research articles. Hit a paywall? No problem: click the green tab and read it free!

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Postdoctoral position in Big Data and Data Science

We are looking for a highly motivated postdoctoral fellow in the area of Big Data and Data Science with a particular focus on Social Mining within a EU funded project. The project aims to establish a Social Mining and Big Data Ecosystem for ethically sensitive scientific discoveries and advanced applications of social data mining to the various dimensions of social life.
The ideal candidate shall pursue exciting research in the areas of Big Data, social data analytics, machine learning, large-scale networks, deep learning, participatory smart cities platforms, and/or in connection with the Nervousnet.info platform.
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Motter Group Postdoctoral Positions

The group has openings for postdoctoral researchers interested in dynamical aspects of complex network systems. The main topics of interest include: dynamics of ecological, chemical, and power-grid networks; applications of control theory and game theory to complex systems; missing information in biochemical and combustion reaction networks; cascades, synchronization, and consensus phenomena; implications of symmetry in network structure and dynamics; applications to sustainability, climate, and energy problems. Ideal candidates will be recent PhD’s in physics, applied mathematics, engineering, computer science, statistics, or related fields. One position is available immediately.  To apply, candidates should e-mail a CV and a brief research statement to Prof. Motter at motter@northwestern.edu . The CV should include a list of publications and contact information of at least two references who can provide recommendation letters. Deadline for applications: March 1, 2017.  For more information on the research in the group, please visit: http://dyn.phys.northwestern.edu
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University of Sydney - Postdoctoral Research Associate in Complex Systems

Two positions in:

(1) large-scale computational modelling of epidemics,

(2) simulation, modelling and analysis of housing market risks

 

  • Research focussed on focussed on studying nonlinear critical phenomena in technological, social, organisational, and biological systems
  • Join a research group of international reputation and contribute to developing and presenting new and innovative ideas
  • Full-time 2.5-year fixed term, (flexible part time options are possible) remuneration package: $104K p.a. which includes leave loading and up to 17% super)
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Assistant/Associate/Full Professor in the Network Science Institute

Assistant/Associate/Full Professor in the Network Science Institute | CxAnnouncements | Scoop.it
The Network Science Institute (NetSI) is a multi-disciplinary research community supporting innovative research and training in network science. The successful candidate will join an outstanding interdisciplinary community represented by 10 core faculty members representing 7 departments, including Physics, Computer science, Political Science, Business, Health Science, Communications, and Mathematics. 

The successful candidate will be offered a departmental tenure home commensurate with their expertise. NetSI is dedicated to creating synergy among faculty expertise, across departments and colleges, with shared computing infrastructure, active lecture series and vibrant collaborative research opportunities. Candidates’ are expected to actively engage our distinctive interdisciplinary, collaborative culture. Candidate’s research plans should extend beyond their home discipline to engage with other fields in other domains of network sciences. Substantive foci are open and broad, including network structure and dynamics, spreading and diffusion, relational and clustered modeling, automated mining of qualitative data, theoretical physics and computational models of social processes, and computationally intensive data collection and analysis. 
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WaveNet: A Generative Model for Raw Audio | DeepMind

WaveNet: A Generative Model for Raw Audio | DeepMind | CxAnnouncements | Scoop.it

This post presents WaveNet, a deep generative model of raw audio waveforms. We show that WaveNets are able to generate speech which mimics any human voice and which sounds more natural than the best existing Text-to-Speech systems, reducing the gap with human performance by over 50%.
We also demonstrate that the same network can be used to synthesize other audio signals such as music, and present some striking samples of automatically generated piano pieces.

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The 2016 Nobel Prize in Chemistry

The Royal Swedish Academy of Sciences has decided to award the Nobel Prize in Chemistry 2016 to Jean-Pierre Sauvage University of Strasbourg, France, Sir J. Fraser Stoddart Northwestern University, Evanston, IL, USA, and Bernard L. Feringa University of Groningen, the Netherlands "for the design and synthesis of molecular machines"

They developed the world's smallest machines
A tiny lift, artificial muscles and miniscule motors. The Nobel Prize in Chemistry 2016 is awarded to Jean-Pierre Sauvage, Sir J. Fraser Stoddart and Bernard L. Feringa for their design and production of molecular machines. They have developed molecules with controllable movements, which can perform a task when energy is added.

The development of computing demonstrates how the miniaturisation of technology can lead to a revolution. The 2016 Nobel Laureates in Chemistry have miniaturised machines and taken chemistry to a new dimension.

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The 2016 Nobel Prize in Physiology or Medicine

The 2016 Nobel Prize in Physiology or Medicine | CxAnnouncements | Scoop.it

The Nobel Assembly at Karolinska Institutet has today decided to award the 2016 Nobel Prize in Physiology or Medicine to Yoshinori Ohsumi for his discoveries of mechanisms for autophagy.

This year's Nobel Laureate discovered and elucidated mechanisms underlying autophagy, a fundamental process for degrading and recycling cellular components.  

The word autophagy originates from the Greek words auto-, meaning "self", and phagein, meaning "to eat". Thus,autophagy denotes "self eating". This concept emerged during the 1960's, when researchers first observed that the cell could destroy its own contents by enclosing it in membranes, forming sack-like vesicles that were transported to a recycling compartment, called the lysosome, for degradation. Difficulties in studying the phenomenon meant that little was known until, in a series of brilliant experiments in the early 1990's, Yoshinori Ohsumi used baker's yeast to identify genes essential for autophagy. He then went on to elucidate the underlying mechanisms for autophagy in yeast and showed that similar sophisticated machinery is used in our cells.

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Collective motion of groups of self-propelled particles following interacting leaders

In order to keep their cohesiveness during locomotion gregarious animals must make collective decisions. Many species boast complex societies with multiple levels of communities. A common case is when two dominant levels exist, one corresponding to leaders and the other consisting of followers. In this paper we study the collective motion of such two-level assemblies of self-propelled particles. We present a model adapted from one originally proposed to describe the movement of cells resulting in a smoothly varying coherent motion. We shall use the terminology corresponding to large groups of some mammals where leaders and followers form a group called a harem. We study the emergence (self-organization) of sub-groups within a herd during locomotion by computer simulations. The resulting processes are compared with our prior observations of a Przewalski horse herd (Hortob\'agy, Hungary) which we use as results from a published case study. We find that the model reproduces key features of a herd composed of harems moving on open ground, including fights for followers between leaders and bachelor groups (group of leaders without followers). One of our findings, however, does not agree with the observations. While in our model the emerging group size distribution is normal, the group size distribution of the observed herd based on historical data have been found to follow lognormal distribution. We argue that this indicates that the formation (and the size) of the harems must involve a more complex social topology than simple spatial-distance based interactions.

 

Collective motion of groups of self-propelled particles following interacting leaders
Bence Ferdinandy, Katalin Ozogány, Tamás Vicsek

http://arxiv.org/abs/1609.03212

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Assistant or Associate Professor on Quantitative Models of Human Communication @UCDavis

Assistant Professor (Tenure Track) or Associate Professor, Quantitative Models of Human Communication. For this position, we seek a scholar with research interests focused on quantitative model building in communication. Human communication is an essential building block in the emergence of complex social systems. Models aimed at understanding and identifying the fundamental theoretical building blocks of human communication have the potential to inform all the social sciences, which includes areas such as cooperation and coordination, trust and goal manipulations, contagion and diffusion, technology adaption and technological change, organizational communication and team-building, community development, social network evolution, and democratic processes. Applicants are sought from scholars conducting theory-driven and theory-building research through modern modeling tools, such as agent-based models, computer simulations and other numerical solutions, which are informed by analytical approaches, such as game theory, dynamical systems theory, information theory, or statistical mechanics. The applicant must show evidence that developed models are grounded in empirical data from the social sciences. Applicants must be willing to teach undergraduate and graduate courses in model building, as well as additional courses from the Department’s offerings as needed. Applicants’ research program must be consistent with the Department’s affiliation with the Division of Social Sciences. A doctorate degree and publications and research work in the social sciences are required. Persons with Ph.D. pending will be considered only if the degree will be awarded prior to the beginning of instruction on September 19, 2016. Demonstrated research and teaching competence are required. Applicants must have the potential to secure external funding. Applications must be submitted by November 30, 2016 to receive consideration. Position to begin July 1, 2017.

Complexity Digest's insight:

See also open calls for Associate Professor positions in:

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YRNCS Job Fair at CCS'17

Have you got an open position in your group that you’d like to advertise? Are you a young researcher looking for career opportunities?

The YRNCS Job Fair will provide PhD students and early career researchers with a great opportunity to find out about open positions during CCS 2017. It will take place during the Welcome Cocktail reception on Monday 18th September from 7pm onwards, and flyers and posters to advertise the positions will be visible all week. The Job Fair will offer a great chance to meet potential employers and employees, or even just to mingle and make new contacts!

If you’d like to advertise a position, send a one-page flyer at f.botta@warwick.ac.uk

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ITMO University Fellowship Program

ITMO University Fellowship program aims to provide outstanding researchers and scientists, who are, or have the potential to become, leaders in their chosen fields, with the opportunity to build an independent research career. Our intention is to help to develop next generation of researchers with the greatest potential in their postdoctoral and early career stages.
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Binghamton University Job Posting: George J. Klir Endowed Professor Systems Science

The Thomas J. Watson School of Engineering and Applied Science at Binghamton University is seeking nominations and applications for the George J. Klir Endowed Professor in Systems Science position. This is a newly-created position made possible by a gift to honor the memory and work of the late George J. Klir, a Distinguished Professor Emeritus of Systems Science at Binghamton University.
The candidate should demonstrate leading academic fortitude in the fields inspired by Dr. Klir's work including, but not limited to: complex systems; artificial intelligence; fuzzy set theory, fuzzy logic and fuzzy systems; general systems concepts and theory; generalized information theory; probabilistic and possibilistic theory; soft computing; systems problem solving; uncertainty theory; and fields and disciplines that develop from this work. The position will carry the rank of full professor in the Department of Systems Science and Industrial Engineering, Thomas J. Watson School of Engineering and Applied Science.

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Postdoctoral Researcher in the area of blockchain technology

We are looking for a Postdoctoral Researcher in the area of blockchain technology with a particular focus on applications in the fields of IoT and marketplaces for digital currencies.
The ideal candidate shall pursue exciting research & development in systems, blockchain, decentralized networks and IoT and some of the following areas like cryptocurrencies, financial markets, the sharing economy and digital marketplaces. The work will be performed within the European project "FuturICT 2.0“, which explores the future of digital societies and markets over the coming three years. During this period, we will build a pilot application and aim at integrating it with the nervousnet.

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University of Sydney - Postdoctoral Research Associate - Student Interactions

The Postdoctoral Research Associate will conduct a longitudinal and a cross-sectional analysis of large-scale data of student interactions. The primary purpose of the network analysis is to cast light on the social and cultural landscape of the Universitys student body. The results will inform the targeting of network interventions.

The successful person will work closely with Dr. Petr Matous, Prof Philippa Pattison (Deputy Vice-Chancellor for Education), and Prof. Shane Houston (Deputy Vice-Chancellor for Indigenous Strategy and Services).

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Postdoctoral Fellowships at UNAM

Postdoctoral Fellowships at UNAM | CxAnnouncements | Scoop.it
The National Autonomous University of Mexico (UNAM) has an open call for postdoctoral fellowships to start in September, 2017. 

Candidates should have obtained a PhD degree within the last three years and be under 36 years, both to the date of the beginning of the fellowship.
 There will be another call to begin March, 2018 closing around June 2017.

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Network Science PhD Program | Network Science Institute at Northeastern University

Network Science PhD Program | Network Science Institute at Northeastern University | CxAnnouncements | Scoop.it
The Network Science PhD program is a pioneering interdisciplinary program that provides the tools and concepts aimed at understanding the structure and dynamics of networks arising from the interplay of human behavior, socio-technical infrastructures, information diffusion and biological agents.

 

We expect applications from talented students from around the world with strong interdisciplinary interests.The priority application deadline for Fall 2017 is February 1, 2017.

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2 Prof. Positions on Mathematical Modeling of Complex Biosystems, UC Riverside

Applications are invited for two 9-month, tenure-track or tenure positions at the Assistant or Associate levels beginning July 1, 2017, as a part of the cluster hiring initiative in Mathematical Modeling of Complex Biosystems at the University of California, Riverside (UCR). 

 

The University of California at Riverside (UCR) is implementing a major expansion of our faculty and investing in state-of-the-art research facilities to support their work. This expansion will build critical mass in 34 vital and emerging fields of scholarship, foster truly cross-disciplinary work, and further diversify the faculty at one of America’s most diverse research universities. We encourage applications from scholars committed to excellence and seeking to help define the research university for the next generation. For more information about our hiring initiative or to submit an application, please visit clusterhiring.ucr.edu or academicpersonnel.ucr.edu .

 

https://aprecruit.ucr.edu/apply/JPF00675
https://aprecruit.ucr.edu/apply/JPF00676

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Four Tenure-Track Positions in Computer Science & Complex Systems

Four Tenure-Track Positions in Computer Science & Complex Systems | CxAnnouncements | Scoop.it

The College of Engineering and Mathematical Sciences (CEMS) at the University of Vermont (UVM) is seeking applications for four tenure-track faculty positions in Computer Science and Complex Systems, with a Fall 2017 start date. These positions will be at the rank of Assistant Professor, or Associate Professor with tenure for outstanding candidates already at that rank. We seek candidates with active research in one or more of the following areas:
• Cybersecurity, especially in languages and verification, or applications of machine learning or complex systems approaches to cybersecurity.
• Computational Intelligence, broadly defined to include data mining, machine learning, data science, bio-inspired approaches, and Deep Learning, with broad potential for applications to Big Data in areas such as biology, medicine, cybersecurity, social science, sociotechnical systems, and/or environmental science.
• Complex Systems, modeling and/or analysis of emergent phenomena allied with data-driven empirical work, ideally with applications in biology, medicine, cybersecurity, the social sciences, sociotechnical systems, and/or environmental science.
• Computational Biology, computational approaches to the study of biological systems such as in genomics, proteomics, phylogenetics, biological pathways or networks, etc.

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The 2016 Nobel Prize in Physics

The Royal Swedish Academy of Sciences has decided to award the Nobel Prize in Physics 2016 with one half to David J. Thouless
University of Washington, Seattle, WA, USA and the other half to
F. Duncan M. Haldane Princeton University, NJ, USA and J. Michael Kosterlitz Brown University, Providence, RI, USA ”for theoretical discoveries of topological phase transitions and topological phases of matter”

 

They revealed the secrets of exotic matter
This year’s Laureates opened the door on an unknown world where matter can assume strange states. They have used advanced mathematical methods to study unusual phases, or states, of matter, such as superconductors, superfluids or thin magnetic films. Thanks to their pioneering work, the hunt is now on for new and exotic phases of matter. Many people are hopeful of future applications in both materials science and electronics.

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Live Tweetcast of the Conference on Complex Systems 2016

The Flagship Conference of the Complex Systems Society will take place on September 19-22 in Amsterdam. See details at http://www.ccs2016.org

 

Attendants are encouraged to tweet relevant moments using the hashtag #CCS17

 

If you cannot make it to Amsterdam, follow the live tweetcast from https://twitter.com/search?q=%23CCS16

 

We will also be tweeting and retweeting from https://twitter.com/cxdig

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3 Senior Researcher Positions at Lakeside Labs

3 Senior Researcher Positions at Lakeside Labs | CxAnnouncements | Scoop.it
  • Senior Researcher in UAV communications and coordination
  • Senior Researcher in Cyber-Physical Systems
  • Senior Researcher in Self-Organization and Swarming
  • Researcher in UAV Path Planning
  • PreDoc Scientist in Embedded Communication Systems (U Klagenfurt)
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