The Complex Networks & Systems track of the PhD program in Informatics at Indiana University has been training a new kind of interdisciplinary scientist and professional for over a decade. With its unique interdisciplinary approach, our program offers an exciting opportunity to master the connections between theoretical, technological, biological, and social implications of complex networks and systems in a research-oriented curriculum. The program is hosted by faculty at the associated Center for Complex Networks and Systems Research (CNetS) who are investigating complex systems in action, from determining how a YouTube video goes viral, mining Instagram data for public-health monitoring, developing models to predict the spread of online misinformation, studying innovation and conflict in parliamentary documents, to understanding the neural basis of behaviors. Our program also capitalizes on the new Indiana University Network Science Institute (IUNI) with over 150 faculty members who participate in network science and complex systems research and who can serve in interdisciplinary Ph.D. advisory committees.
The Complexity Institute at Nanyang Technological University in Singapore invites applications for an assistant professorship in urban complexity. Today the human condition has become the urban condition, and our collective future is closely linked to the destiny of our cities. We seek a creative scholar who uses the complexity lens to explore key policy questions such as mobility, health, population and environment in Singapore, Asia and beyond. The successful candidate will be appointed to the NTU Complexity Institute, the first of its kind in Asia, which promotes cross-disciplinary research exploring the principles that underlie complex adaptive systems. Depending on their field of specialization and research interests, the candidate will also be appointed to an assistant professorship in one of the Colleges of the University.
The position will be available in Spring 2016, but the starting date is flexible. The initial appointment will be for one year, with the possibility of renewal for a second year. The successful candidate will be working with Professors Eduardo Izquierdo and Randall Beer to construct and analyze integrated neuromechanical models of behavior in the nematode worm C. elegans.
The Doctoral Program in Complexity Sciences provides an integrated training that enable doctoral students understand the environment in which they live, by applying modelling methods and computer simulation, and solve complex problems using information technology, including support systems to organizational processes in complex environments. Developing these skills will enable the integration of multidisciplinary knowledge and the autonomously formulation of judgements from data that is often incomplete.
The Doctoral Program in Complexity Sciences is taught in ISCTE and FCUL. It has an international dimension based on a set of protocols to the Paris-Dauphine University (France), with the University of Savoie (France) and the Academy of Economic Studies of Bucharest (Romania). There are teachers of exchanges with the University Paul Sabatier in Toulouse (France), with the Open University (UK), with the University of Utrecht (Netherlands) and the University of Texas (USA).
The new curriculum comprehends a 1st curricular year and a 2nd and 3rd years mainly dedicated to research at PhD level. Students are invited to develop their research projects at LabMAg (FCUL, Lisbon), ISTAR (ISCTE-IUL, Lisbon), and IITGn (Gandhinagar, India).
A new class for the 1st curricular year will start in February 2016. Classes will take place on Tuesdays and Wednesdays, from 18h to 21h30.
Applications for the 1st curricular year are open until the 23rd of December, 2015. Applications are submitted through the form available at the ISCTE-IUL applications website.
The Network Science Institute was born out of our commitment to explore universality and predictability of systems to discover their function and develop intervention strategies to improve the health and security of human populations. The Institute is a highly collaborative and interdisciplinary lab space driven by the need to integrate models, theories and problem solving approaches across disciplines in research and education.
Delft University of Technology establishes a new PhD program inEngineering Social Technologies for a Responsible Digital Future. This initiative aims at strengthening complexity science for a better understanding of socio-technical systems and prepare for the challenges of today’s globalized and hyper-connected world. The Faculty of Technology Policy and Management at Delft University of Technology focuses on complex socio-technical systems and infrastructures in energy, mobility, water management and infrastructures. The Faculty of TPM is looking for 10 PhD candidates with a background in computational social science, data science, computer and engineering science, socio-physics, econo-physics, or similar, to jointly study and design complex socio-technical systems. Understanding complex socio-technical systems in a digital world requires advanced modeling, utilizing the potential of the Internet of Things (IoT) as well as big and smart data. In order to achieve this, participatory and crowd-sourced approaches to data collection and model validation are needed. A range of issues regarding ethics, systems and governance (access, reliability, accountability and security, safety, privacy) are essential in our approach.
The Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM) has an open call for a research professor position in bioinformatics. This position, aimed consists of renewable one-year contracts with the possibility of tenure after three years.
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. Strong writing ability is a plus. Positions are also available for social scientists with strong writing and/or quantitative skills. Candidates should be interested in contributing to a wide range of NECSI's research areas, including analysis and modeling of: • Socio-economic systems • Psycho-social systems • Health and disease • Fundamental mathematical advances including multiscale representations To apply please visit: http://www.necsi.edu/education/postdoc/app.php
Quirkies is an iPhone game to teach kids about evolution. Quirkies evolve through natural selection, reproduction, recombination and mutation of genes. By selecting mates who get to reproduce, players simulate the environment in which the fittest quirkies survive. Selected traits will become common throughout the population (which is shared across all players) and fitness will improve. Quirkies might also be rejected by mates, experience harmful mutations, and risk extinction.
The Department of Humanities, Social and Political Sciences (www.gess.ethz.ch) at ETH Zurich invites applications for the above-mentioned professorship. We are looking for an internationally established expert with an excellent publication track record and a strong interest in interdisciplinary research. He or she must have a deep knowledge of social research with quantitative methods and advanced multivariate statistical techniques. Experience with survey methodology or quantitative social science research methods, including experimental methods and/or big data analytics would be highly desirable. Research should also address future societal change, for example, due to increased network interdependencies, complex interactions, globalisation or urbanisation. The opportunities and risks implied by the digital revolution, including areas such as big data, artificial intelligence, and automation are of particular interest.
The successful candidate is expected to deliver courses in advanced statistics for social scientists as well as compulsory elective courses for the critical thinking initiative and the Institute of Science, Technology, and Policy (www.istp.ethz.ch). The new professor will be expected to teach undergraduate level courses (in German or English) and graduate level courses (in English).
A new offering from SFI’s online education resource,Complexity Explorer, gives complexity enthusiasts quantitative tools for distinguishing the "complex" aspects of a system from the merely "complicated."
The Beyond Center for Fundamental Concepts in Science (http://beyond.asu.edu) at Arizona State University invites applications for a postdoctoral research position in the physics of living systems. The anticipated research will combine network theory and experimental data to develop novel computational models for understanding how information can be “written” into networks via environmental imprinting. The project combines aspects of network and complex systems science, biophysics and information theory, and will involve close collaboration with the laboratory of Michael Levin at Tufts University (http://ase.tufts.edu/biology/labs/levin/). Members of the group at Arizona State University include Paul Davies and Sara Imari Walker (www.emergence.asu.edu). The successful candidate will be expected to spend some time at Tufts University, for which travel funds are available, to facilitate the collaboration between theory and experiment in this project.
We are looking for an enthusiastic researcher and teacher to explore complex systems approaches (network analysis, scaling, cluster analysis, ...) and apply these to agri- and foods problems. She/he should have a background in physics with a strong mathematical basis, or, alternatively, a background in mathematics with expertise in physics, and should have affinity doing experiments. The candidate should convey a clear interest in conducting trans-disciplinary research. In a challenging career trajectory you are, as Assistant Professor in the field of physics and physical chemistry of Foods responsible for the organization, implementation and coordination of new research activities in the field of complex systems for Agri-Food as well as building up a leading international position. In this position you will also be motivating and teaching students and develop new courses. Training and coaching is provided for the Assistant Professor to accomplish all this.
We are seeking two mathematical and computational modellers to join the "Beat the News" Program of the Data to Decisions Cooperative Research Centre (D2D), based in the School of Mathematical Sciences at the University of Adelaide. D2D is a Cooperative Research Centre with over 20 partners across academia, industry and government, which seeks to address the Big Data challenges facing Australia's defence, national security and law enforcement agencies. The Beat the News program seeks to research, develop, integrate and evaluate technology that will automatically and accurately predict the occurrence of future events such as disease outbreaks, civil unrest, political crises, and election outcomes. The successful applicants will work with Dr. Lewis Mitchell, who leads two project streams within the "Beat the News" program of D2D, on the topics of using open data for: (i) disease prediction using epidemiological models and data assimilation, and (ii) civil unrest and election prediction using Bayesian network models.
We are looking for a highly motivated postdoctoral fellow in the area of Big Data with a particular focus on Social Mining, in the context of the SoBigData project. The purpose of SoBigData is 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, as recorded by “big data”. The successful candidate must have a strong Computing and Data Science background. Advanced skills in programming and working with Big Data tools (Hadoop, Spark, Mahout, real-time data analytics) are required. Previous experience with Social Mining and Social Network Analysis is a plus.
Postdoc position: Big Data, Social Mining, Data Science
With this call, the Volkswagen Foundation offers financial support for cooperative research projects, both for international workshops and summer schools as well as for cooperative research projects between international postdoctoral researchers.
International Research in Computational Social Sciences
We will accept applications for the 2016 Cohort beginning August 10 and ending November 1, 2015.
The Omidyar Fellowship at the Santa Fe Institute is unique among postdoctoral appointments. It offers select scholars the opportunity to join a collaborative research community where they grapple with some of the most compelling questions of our time. The Institute rejects compartmentalized thought common in academia. Instead, SFI scientists transcend boundaries between fields, freely synthesizing ideas spanning many disciplines – from math, physics, and biology to the social sciences and the humanities – in pursuit of creative insights that advance our scientific frontiers. Omidyar Fellows spend up to three years in residence at SFI, where they contribute to SFI’s research in the sciences of complexity and become the “new leadership for new science.” As thought leaders who shape the future of science, Omidyar Fellows also participate in a provocative training program structured to develop leadership skills throughout their three-year residencies and beyond.
The Computational Social Science (COSS) group at ETH Zurich lead by Prof. Dirk Helbing has an interdisciplinary focus, bringing together social scientists, physicists, and computer scientists using quantitative approaches to answer fundamental scientific questions regarding socially interactive systems. In particular, the team uses a combination of modeling, simulation, data mining, Web content analysis, and behavioral experiments to address fundamental questions concerning the way our society works or may work in future. We are looking for a highly motivated postdoctoral fellow in machine learning, artificial and collective intelligence with a background in machine learning, deep learning, Artificial Intelligence, collective intelligence, and/or related areas, who is interested in contributing to the Momentum project (http://www.coss.ethz.ch/research/momentum.html) and/or the Nervousnet project (http://nervousnet.ethz.ch).
The Global Brain can be defined as the self-organizing network formed by all people on this planet together with the information and communication technologies that connect and support them. As the Internet becomes faster, smarter, and more encompassing, it increasingly links its users into a single information processing system, which functions like a nervous system for the planet Earth. The intelligence of this system is collective and distributed: it is not localized in any particular individual, organization or computer system. It rather emerges from the interactions between all its components—a property characteristic of a complex adaptive system. Such a distributed intelligence may be able to tackle current and emerging global problems that have eluded more traditional approaches. Yet, at the same time it will create technological and social challenges that are still difficult to imagine, transforming our society in all aspects. For this special issue we invite interdisciplinary contributions integrating different levels, applications and domains, which estimate the large-scale impact of the emergence of the Global Brain and provide a long-term vision of the future. Both original research papers and more speculative futuristic scenarios are invited. The special issue will cover a wide variety of topics including: futuristic sociotechnological and socio-economic trends and paradigms, applications of collective intelligence for tackling global challenges, information systems and technologies with global impact, and relationship between the Global Brain and the individual.
Call for papers: The Global Brain: A Model of the Future Information Society
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