The New England Complex Systems Institute has funding for postdoctoral and predoctoral research appointments. We look for outstanding applicants with training in physics, mathematics or computer science. We value strong writing abilities. Candidates should be interested in contributing to a wide range of NECSI's research areas, including analysis and modeling of
Socio-economic systems relevant to: - The food and economic crises, - Conflicts, revolutions, and ethnic violence - International development, and - Pandemics
The school will take place from 29 June to 3 July 2015 The scope of the school is to present recent advances in complex systems discussing applications of statistical mechanics of non-equilibrium and disordered systems, theories of complex networks and other stochastic systems to different topics in materials science, social sciences, biology and biomedical research. The broad choice of interdisciplinary topics is designed to expose the students to some of the multiple facets of complex systems theory. The school is open to graduate students and postdoctoral fellows working in complex systems and related fields.
Advances in Complex Systems Lake Como School of Advanced Studies, 29 June – 3 July 2015 (Como)
The Complex Systems Summer School offers an intensive four week introduction to complex behavior in mathematical, physical, living, and social systems for graduate students and postdoctoral fellows in the sciences and social sciences. The school is for participants who seek background and hands-on experience to help them prepare to conduct interdisciplinary research in areas related to complex systems.
We are excited to announce that the fellowship for the 2015-2016 year will now be a two year award! Fellowship recipients in this upcoming application round will have the benefits listed below to cover the 2015-16 and 2016-17 academic years. Applications are now open!
The Fellowship Program is open to full-time PhD students around the world who are enrolled during the current academic year(s) and studying computer science, computer engineering, electrical engineering, system architecture, or a related area.
The College of Engineering and Mathematical Sciences invites applications for a tenure-track faculty position in Complex Systems, with a focus on research problems in the behavioral and social sciences. The position is in support of our NSF-funded IGERT program on Smart Grid & Human Behavior. Requirements include an earned doctorate in computer science, mathematics, or a related discipline, a proven record of scholarly activities, and the qualifications to teach both undergraduate and graduate courses in their home department. The full job description and online application can be found at http://www.cems.uvm.edu/facsearch/csys.php. The first review of applications will occur on December 15, 2014. UVM is an EO/EA/AA employer and conducts background checks on all final candidates.
The NTU Complexity Institute is the first of its kind in Asia which promotes cross-disciplinary research that can be translated into the principles that underlie complex adaptive systems. While pushing the frontiers of knowledge, the Institute also seeks to provide thought leadership in the policy arena. It has close ties with the Santa Fe Institute in US, Stockholm Resilience Centre and other leading research organisations. We invite applications for:
Full Professor in Complexity Science, with reference to Urban Adaptive Systems.
• Expertise in cities as complex adaptive systems
• Able to chart new research directions with relevance to key policy issues such as mobility, health, population and environment in Singapore, Asia and beyond
• Outstanding record of teaching and research, a strong international profile, and proven academic leadership abilities
The successful candidate will be appointed to a full professorship in one of the Colleges of the University, depending on the field of specialisation and research interests, and hold a concurrent appointment as Research Leader in the Complexity Institute.
The papers in this special issue address questions at the intersection of these three topics: scientific understanding, computer simulation and vi- sualization. They are a subset of the papers presented at a workshop on scientific understanding held at the Lorentz Center (Leiden, The Nether- lands) in 2010. Spanning a wide range of scientific fields—from sociology to biology to climate science to fundamental physics—as a group they both reveal common threads and serve as a reminder of the diversity of practices in science, including thought experiments, theoretical analysis on paper, computer simulations, and data-intensive research employing online databases.
Introduction: Simulation, Visualization, and Scientific Understanding Henk W. de Regt, Wendy S. Parker
Fall 2014, Vol. 22, No. 3, Pages 311-317 http://dx.doi.org/10.1162/POSC_e_00135
All systems in nature have one thing in common: they process information. Information is registered in the state of a system and its elements, implicitly and invisibly. As elements interact, information is transferred and modified. Indeed, bits of information about the state of one element will travel—imperfectly—to the state of the other element, forming its new state. This storage, transfer, and modification of information, possibly between levels of a multi level system, is imperfect due to randomness or noise. From this viewpoint, a system can be formalized as a collection of bits that is organized according to its rules of dynamics and its topology of interactions. Mapping out exactly how these bits of information percolate through the system could reveal new fundamental insights in how the parts orchestrate to produce the properties of the system. A theory of information processing would be capable of defining a set of universal properties of dynamical multi level complex systems, which describe and compare the dynamics of diverse complex systems ranging from social interaction to brain networks, from financial markets to biomedicine. Each possible combination of rules of dynamics and topology of interactions, with disparate semantics, would reduce to a single language of information processing.
Guest Editor: Dr. Rick Quax
Deadline for manuscript submissions: 28 February 2015
The Computer Science Department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM) has a open call for a tenure-track research professor in big data.
The Institute for Analytical Sociology at Linköping University is looking for up to five highly qualified postdocs to be part of an ambitious interdisciplinary research program on modeling segregation processes. The program is directed by Peter Hedström and includes a group of researchers with variety of disciplinary backgrounds [see http://www.liu.se/ias?l=en ]. In the research program, we use large-scale register data, selected field experiments, and the tools of analytical sociology and complexity science to better understand the processes through which schools, organizations, and neighborhoods become segregated. We seek outstanding social scientists whose research interests and qualifications resonate well with the core themes of the research program, and whose research agendas have a high potential to contribute to the development of the methodological and theoretical foundations of the social sciences. The successful candidates are expected to work independently and to collaborate with colleagues within the project. Experience in handling and analyzing large-scale micro-level data, experimental design, network analysis, and/or agent-based simulation modeling is a merit. We can offer a stimulating research environment, extraordinary data materials - including micro-level population register data for the years 1990 to 2012 - and competitive salaries. The position will initially be for two years, with a possible extension, and should preferably be taken up no later than January 2015. The position entails no teaching or supervision obligations.
IMT Institute for Advanced Studies Lucca offers a multidisciplinary PhD program that integrates scientific competences of economics, engineering, computer science, physics, applied mathematics, statistics, history and sciences of cultural heritage. It offers a unique and characteristic patrimony of competences within the broad framework of the analysis and management of a plurality of systems. The three year program is articulated in curricula. The 8 curricula currently offered are field-specific, although in many instances they share a common scientific background. Candidates can apply for one (or more) of the following curricula:
• Economics (ECON) • Management Science (MS) • Complex Networks (CN) • Computational Mechanics (CM) • Control Systems (SYS) • Computer Science (CS) • Image Analysis (IA) • Analysis and Management of Cultural Heritage (AMCH)
No tuition fees (regional tax excluded), free room and access to IMT Canteen, grant of 13,600 EUR gross/year
Complex Systems people/Artificial Life people/Adaptive Systems people/Computational Biology people with top class CVs who are interested in joining the team at Southampton are encouraged to make an application via this (unlikely looking) job ad: https://jobs.soton.ac.uk/Vacancy.aspx?ref=487814FP Note very short timeline: 5th dec. The appointment opportunities are broader than the specific areas emphasized in the ad.* See: Agents, Interaction and Complexity group: http://www.aic.ecs.soton.ac.uk/
The PhD program in Network Science at Northeastern University is a new interdisciplinary program that provides the tools and concepts for understanding the structure and dynamics of networks across diverse domains, such as human behavior, socio-technical infrastructures, or biological agents. Students have the opportunity to work with some of the most prominent network scientists in the world, and can participate in cutting edge research activities and work with unique large-scale network datasets. Network Science is deeply interdisciplinary, yet shares a common core, and students in this program both develop expertise in these core concepts, and interact and learn from members of the network science community across a wide range of fields, including computer science, information science, complexity, physics, sociology, communication, organizational behavior, political science, and epidemiology. Northeastern University is a world leader in Network Science, with prominent faculty in the field such as Albert-László Barabási, Alessandro Vespignani, David Lazer, and Alan Mislove; numerous affiliated faculty; and multiple centers and labs with scores of researchers. A key element of the program involves careful mentoring from these faculty and immediate involvement in the cutting edge research taking place at Northeastern. Current formal concentrations of study, in addition to the core material, include the physical sciences, the social sciences, health science, or computer and information sciences. We offer a generous complete package for the first year that includes a full tuition waiver, full medical coverage and a competitive yearly stipend as long as the student remains in good standing at the end of the academic year. See the Overview and the sections on Courses and Requirements for more information.
Three post-doctoral Fellowships in Foundations of Complexity : Rio de Janeiro, BrazilApplications are invited for young, highly skilled and motivated researchers in the three following subjects:
i) Study of anomalous entropic behaviors in strongly- entangled quantum systems, and their corresponding thermostatistical description. A centrally related paper is Caruso and Tsallis, Physical Review E 78, 021102 (2008). The purpose is to proceed this study focusing, among others, on which is density matrix associated, by using for instance Density Matrix Renormalization Group (DMRG) techniques.
ii) Computation efforts in statisticalmechanical and thermodynamical properties of long-range-interacting classical many-body Hamiltonian systems (e.g., universality classes of nonadditivity; exhibition of the zeroth principle of thermodynamics, anomalous distributions of momenta). The focus is on using essentially molecular dynamics: see a typical example in Cirto, Assis and Tsallis, Physica A 393, 286 (2014).
iii) Analytical efforts (in the style of mathematics, or of mathematical physics) along the lines of Central Limit Theorems and Large Deviation Theory, for systems with strongly correlated elements. Typical examples can be seen in Umarov, Tsallis and Steinberg, Milan J. Math. 76, 307 (2008), Umarov, Tsallis, Gell-Mann and Steinberg, J. Math. Phys. 51, 033502 (2010), and Ruiz and Tsallis, Phys. Lett. A 377, 491 (2013).
The three, immediately available, Fellowships are renewable up to 33 months. The stipend is the equivalent in Brazilian Real of USD 4,545.45/month (12 payments per year; free of taxes).
There are approximately 3 billion people in the global workforce. LinkedIn's vision is to create economic opportunity for every one of them. The development of the world's first Economic Graph will lead to making that vision a reality. This, of course, is no easy task. Our vision is grand, but it's not unattainable.
So, here's the challenge: Given the wealth of data that exists within LinkedIn, what research would you propose that has the potential to create greater economic opportunity?
We are launching the LinkedIn Economic Graph Challenge to encourage researchers, academics and data-driven thinkers to solve some of the most challenging economic problems of our times.
Complexity, Governance, and Networks aims to contribute to the philosophical, theoretical, methodological, and empirical developments in complexity, governance, and network studies in public administration, public policy, politics, and non-governmental organizations. The journal publishes primarily theoretical essays and original research papers.
The School of Informatics and Computing (SoIC) at Indiana University Bloomington invites applications for an asst/assoc/full professor position in complex networks and systems, in the Informatics Division, to begin in August 2015. The position is expected to be filled at the senior level, but outstanding junior candidates will be considered.Applications are especially encouraged from established leaders, who will have opportunities for leadership roles in the Center for Complex Networks and Systems and in a new and ambitious university-wide network science initiative to be announced.Applicants should have an established record (senior level) or demonstrable potential for excellence (junior level) in research and teaching, and a Ph.D. in a relevant area, or (junior level) expected by 8/2015.https://indiana.peopleadmin.com/postings/1069
Here you will find a description of the aims, activities and theoretical synthesis of the "Information - Function - Biology" project.
The broad aim is to advance a deep understanding of life and living which integrates concepts over all scales, all time and all forms of biological organisation. The key insight enabling this is to see that living is an information process, that living forms are concentrations of information engaged in storing, communicating, filtering and recombining information. There are several inspirations for this work, but perhaps the most prominent is the book by Erwin Schrodinger, which he called “What is Life?*”. That is why this website has the URL http://www.whatlifeis.info
In recent years, ideas such as "life is information processing" or "information holds the key to understanding life" have become more common. However, how can information, or more formally Information Theory, increase our understanding of life, or life-like systems?
Information Theory not only has a profound mathematical basis, but also typically provides an intuitive understanding of processes, such as learning, behavior and evolution terms of information processing.
In this special issue, we are interested in both: a.) the information-theoretic formalization and quantification of different aspects of life, such as driving forces of learning and behavior generation, information flows between neurons, swarm members and social agents, and information theoretic aspects of evolution and adaptation and b.) the simulation and creation of life-like systems with previously identified principles and incentives.
Topics with relation to artificial and natural systems:
information theoretic intrinsic motivations
information theoretic quantification of behavior
information theoretic guidance of artificial evolution
information theoretic guidance of self-organization
information theoretic driving forces behind learning
information theoretic driving forces behind behavior
information theory in swarms
information theory in social behavior
information theory in evolution
information theory in the brain
information theory in system-environment distinction
information theory in the perception action loop
information theoretic definitions of life
Dr. Christoph Salge Dr. Georg Martius Dr. Keyan Ghazi-Zahedi Dr. Daniel Polani Guest Editors
Deadline for manuscript submissions: 28 February 2015
Now more than ever, experts say, postdoctoral fellows need to cultivate a broad base of beyond-the-bench skills and capitalize on transferring them to the next stage of their career to be as competitive as possible. In today’s competitive job market, it is vitally important for postdocs to accumulate skill sets on their CVs right alongside their publications—whether their next career move is research-based or not. Postdocs who repurpose their lab leadership and project management skills into star candidate qualities have an advantage when looking to step into their next position.
A new module on the Étoile Platform, by Jeffrey Johnson
Based on the course presented at the 4th Ph.D. summer School - conference on “Mathematical Modeling of Complex Systems”, Cultural Foundation “Kritiki Estia”, 14 – 25 July, 2014, Athens.
The modern world is complex beyond human understanding and control. The science of complex systems aims to find new ways of thinking about the many interconnected networks of interaction that defy traditional approaches. Thus far, research into networks has largely been restricted to pairwise relationships represented by links between two nodes.
This course marks a major extension of networks to multidimensional hypernetworks for modeling multi-element relationships, such as companies making up the stock market, the neighborhoods forming a city, people making up committees, divisions making up companies, computers making up the internet, men and machines making up armies, or robots working as teams. This course makes an important contribution to the science of complex systems by: (i) extending network theory to include dynamic relationships between many elements; (ii) providing a mathematical theory able to integrate multilevel dynamics in a coherent way; (iii) providing a new methodological approach to analyze complex systems; and (iv) illustrating the theory with practical examples in the design, management and control of complex systems taken from many areas of application.
Complex Adaptive Systems Modeling welcomes submissions to the new thematic series on Modeling large-scale communication networks using complex networks and agent-based modeling techniques. This thematic series intends to publish high quality original research as well as review articles on case studies, models and methods for the modeling and simulation of large-scale computer communication networks using either of the following two approaches:
Complex networks (such as modeled using tools such as Gephi, Network Workbench and others)
Agent-based models (such as based on NetLogo, Repast, Mason, Swarm and others)