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.
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).
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.
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.
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 .
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.
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.
The New England Complex Systems Institute has funding for postdoctoral and predoctoral research appointments. We are looking for outstanding applicants interested in retrieving and analyzing unstructured patterns of information from large datasets. Areas of application include:
- Human dynamics - Socio-economic systems - Medical records
Training in physics, mathematics or computer science is preferred but not required. We value strong writing abilities, and interest in:
Research subjects of particular interest are: agent-based, multi-level, and/or evolutionary game theoretical models of social processes; artificial societies; social technologies; real-time measurement of socio-economic activities; measurement of social capital; methods and technologies to create collective awareness; reputation and incentive systems; innovative financial and socio-economic systems; qualified money; Blockchain technologies; sharing economy; Virtual Reality; collective intelligence; digital societies; resilient societies; ethical and value-sensitive ICT; responsible innovation; design for emergence and values. Candidates should have an interest in supporting the visions and goals of the FuturICT and Nervousnet projects (see nervousnet.info, www.futurict.eu and the related facebook, twitter and vimeo pages).
MSc Network Science, run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science at the Russell's Group Queen Mary University of London is now accepting applications for the 2016/2017 entry. This is a specialist masters in network science and mathematical modelling of complex systems, along with the principal analytical, numerical and data analysis methodologies. This MSc will open to students a host of career opportunities in modelling of complex systems, networks and data science related industries that require such specialist knowledge and skills. Internship possibilities available in a selection of world leading companies in London and Paris, as well as PhD opportunities in the complex systems & networks group.
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.
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 firstname.lastname@example.org . 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
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.
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.
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.
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.
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
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.
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Abstraction-based controller synthesis is a relatively recent approach whose key advantage over classical synthesis methods is that it permits to solve control problems for nonlinear continuous-state plants described by ordinary differential equations in a fully automated, correct-by-construction fashion, even for rather complex control objectives and in the presence of uncertainties and disturbances. The approach relies on finite-state approximations (``abstractions'') of continuous-state plants described by ordinary differential equations. These abstractions are used as substitutes of the original plants in the synthesis process, to reduce the synthesis problem to the solution of an auxiliary, purely discrete synthesis problem. The stipendiary is expected to advance both theory and computational methods to facilitate the practical applicability of the approach to the synthesis of controllers enforcing temporal logic specifications on UAVs. The focus is on synthesis algorithms that are both efficient and formally correct, and on the reduction of the complexity of the resulting controllers. The project involves theoretical work, algorithm and software development, and, on a small scale, experimental work.
The journal Applied Network Science is intended to focus on applied research benefiting from or using network science. The breadth of areas where network science is being used continues to increase and is far from reaching its peak. Annual meetings on network science continue to attract a diverse crowd—from physicists to urban planners; from computer scientists to art historians. These works contribute to the body of knowledge of applications which can benefit from network science. We have set the scope of this journal to be on “applied” work exactly to highlight the multi- and inter-disciplinary aspects of the journal. We encourage contributions from diverse fields as long as the contributions are not solely theoretical. Papers should clearly indicate how the concepts proposed can be applied to practical, real-world problems. Note that we are open to papers with theoretical results, but there should be a clear indication in the body of the work about the applied impact of the proposed theory. Our first submissions are currently being reviewed and we expect a quick turn-around. Many other submissions are being prepared. We invite you to submit your work to demonstrate the world-wide applicability of network science.
Hocine Cherifi and Ronaldo Menezes Editors-in-Chief
The National Autonomous University of Mexico (UNAM) has an open call for postdoctoral fellowships to start in March 1st, 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.
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