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Crunching numbers is only half the battle.
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Wanted: Broad, creative thinkers for resident faculty positions March 13, 2013 11:23 a.m. The Santa Fe Institute is seeking nominations and applications for resident faculty positions. Full-time appointments are of highest priority. We are also seeking sabbatical visitors. SFI is an internationally renowned, collaborative research environment dedicated to research of fundamental scientific questions that transcend traditional disciplinary boundaries, many of which involve the science of complex systems. As such, we are open to applicants with an interdisciplinary focus from all scientific fields, with a preference for quantitative approaches. We seek nominees and applicants with outstanding academic credentials in their own fields, who are broad thinkers, are creative, catalytic, and risk-taking, and who want to break new ground in addressing some of science and society’s most challenging problems. Full-time appointments are of highest priority, although part-time appointments are welcome. SFI also seeks sabbatical visitors, particularly those able to spend up to two years at the Institute. Apply by March 15, 2013. For more information and to apply, see the posting.
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FuturlCT is a FET Flagship project using collective, participatory research, integrated across the fields of ICT, the social sciences and complexity science, to design socio-‐inspired technology and develop a science of global, socially interactive systems. The project will bring together, on a global level, Big Data, new modelling techniques and new forms of interaction, leading to a new understanding of society and its co-‐ evolution with technology. It will place Europe at the forefront of a major scientific drive to understand, explore and manage our complex, connected world in a more sustainable and resilient manner.
In this open access special issue of EPJST, you’ll find a fascinating set of contributions from European scientists who set out a 10 year research agenda within their fields: what are the really tough problems? There are also visionary position papers outlining the kind of socio-technical infrastructure that FuturICT will investigate, and a foregrounding of the ethical dimensions that human Big Data and Analytics always raise. • Foreword • Introduction: The FuturICT knowledge accelerator towards a more resilient and sustainable future • FuturICT: Participatory computing to understand and manage our complex world in a more sustainable and resilient way • Accelerating scientific discovery by formulating grand scientific challenges • A planetary nervous system for social mining and collective awareness • Towards a living earth simulator • Towards a global participatory platform: Democratising open data, complexity science and collective intelligence • FuturICT – The road towards ethical ICT • Theoretical and technological building blocks for an innovation accelerator • The FuturICT education accelerator • Challenges in complex systems science • Challenges in network science: Applications to infrastructures, climate, social systems and economics • A complex systems approach to constructing better models for managing financial markets and the economy • Manifesto of computational social science • Exploratory of society • An economic and financial exploratory • Socio-inspired ICT: Towards a socially grounded society-ICT symbiosis • Complexity aided design: The FuturICT technological innovation paradigm • Causality discovery technology • Smart cities of the future • Data and models for exploring sustainability of human well-being in global environmental change • The emerging energy web • Towards integrative risk management and more resilient societies • Linking science and arts: Intimate science, shared spaces and living experiments • Big science and big administration: Confronting the governance, financial and legal challenges of FuturICT
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Data and Network Visualization Artist/Researcher Northeastern University Boston, Massachusetts USA DESCRIPTION: We are searching for an individual with expertise in data visualization and design, who will establish, conduct and effectively manage projects in data and network visualization, working with members of the Center for Complex Network Research and BarabásiLab (www. barabasilab.com) at Northeastern University in Boston. There are also collaborative opportunities with other labs (lead by Professors Lazer and Vespignani). We seek individuals with demonstrated ability to balance multiple projects and shift priorities as organizational demands require. Solid experience in data visualization and graphic design/presentation software and tools. Salary is competitive and commensurate with background and experience. REQUIREMENTS: Bachelor's required (Master preferred) in information design and data visualization or a related field and demonstrated expertise in the following: • Programing: JavaScript, Processing, Python • Graphic Skills: Photoshop, Illustrator, Indesign • Web Design: Dreamweaver HOW TO APPLY: E-mail résumé with a Cover Letter, two Letters of Recommendations and link to portfolio (if applicable) to: Suzanne Aleva via suzaleva@gmail.com.
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VACANCY: Assistant Professor in computational social science on behalf of University of Vermont
VACANCY: Assistant Professor in Computational Social Science on behalf of University of Vermont The University of Vermont (UVM) seeks a tenure track assistant professor with outstanding research and teaching capabilities in the realm of Computational Social Science. Candidates will be expected to have a Ph.D. in a computationally-focused program within the social and economic sciences, or in one of the computational, mathematical, and natural sciences. The successful candidate will join the Complex Systems Spire, one of UVM's three Transdisciplinary Research Initiatives (TRI) (http://www.uvm.edu/~tri), as well as UVM's Complex Systems Center (http://www.uvm.edu/~cmplxsys/). The candidate's tenure home---department and college---will be based on the individual's background and research interests, and will be determined during the appointment process. The successful candidate will be expected to undertake an active program of scientific research that leads to global, national, and local impact, and to the growth of UVM as a leading institution in the data-driven study of large-scale, sociotechnical, and socionatural phenomena; to seek and obtain extramural funding for their research; and to design and evolve successful new courses in the computational social sciences at the graduate and undergraduate level. Teaching, training, and mentoring undergraduate and graduate students will be required in this position. The successful candidate's research and teaching activities will be in part facilitated by the Vermont Advanced Computing Core, UVM's high performance supercomputing facility, whose continued growth and evolution will be part of the individual's research agenda. The University of Vermont, established in 1791, is located 90 miles south of Montreal between the Adirondack and Green Mountains on the shores of Lake Champlain in Burlington, Vermont, a city of 50,000, consistently recognized for its quality of life, from outdoor recreation to cultural events. UVM, with over 85,000 alumni, is a comprehensive research university comprising eight schools and colleges, a Graduate College, and a College of Medicine and offers its employees competitive salaries, outstanding benefits and a superior academic workplace. The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and/or service. Applicants are requested to include in their letter of interest information about how they will further this goal. The University of Vermont is an Affirmative Action/Equal Opportunity employer committed to increasing faculty diversity and welcomes applications from women and underrepresented ethnic, racial and cultural groups and from people with disabilities. Candidates must apply online at www.uvmjobs.com<http://www.uvmjobs.com>. Search for the position using posting number only (0040628). Include a curriculum vitae; two representative publications; a statement of research focus a statement of teaching interests; and the contact information of three references. The reference providers will be emailed information on how to upload their letters. Review of applications will begin on a rolling basis starting December 1, 2012. The University of Vermont is an Equal Opportunity/Affirmative Action Employer. Applications from women, veterans and people from diverse racial, ethnic, and cultural backgrounds are encouraged.
Increasing numbers of businesses are harnessing the advantages of “Big Data” according to a study from the University of Oxford’s Saїd Business School and the IBM Institute for Business Value. Commentators said big data is “much discussed but ill-defined”, and companies would do well to make the most of sophisticated analytics. Big data can mean any number of things, such as social media analytics, real-time data, information management or the handling of vast amounts of data from traditional and non-traditional routes.
It’s been well-documented throughout the blogosphere over the past few weeks, but every time I read it, I’m still a little surprised--more so by the grandiosity of it all, rather than the fact of the matter.
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At that conference I announced that we are recruiting and I'd like to share that more widely. Global Pulse is a special initiative of the UN Secretary-General to harness the power of big data & real-time analytics for global development. In fact sometimes we liken ourselves to the R&D lab of the United Nations. Key to our success is the research insight gained and facilitated by our research team. To grow that team, we are looking for a Data Scientist for our New York Pulse Lab.
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The current, accepted wisdom is that those who understand Big Data – the enormous datasets of information being collected with nearly every click of every computing device on the planet – will rule the roost in the future. Presumably, if you can predict behavior by measuring and monitoring people’s machines down to an almost atomic level, you can make both your customers and your shareholders much happier. (See Google.) There’s just one problem: outside of companies like Google that have long made use of rich rosters of PhDs, there are nowhere near enough “data scientists” — graduate-level candidates with backgrounds in machine learning or statistics — to analyze the massive streams of information that are being produced, and that gap is growing by the day.
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Vacancy: PhD position - Statistical physics of spatial food-webs Institute for Chemistry and Biology of the Ocean (ICBM) University of Oldenburg, Germany
PhD position: Statistical physics of spatial food-webs posted on behalf of Institute for Chemistry and Biology of the Ocean (ICBM) University of Oldenburg, Germany The Mathematical Modelling group led by Dr. Bernd Blasius invites applications for a PhD researcher (salary 75% TVL E13) to participate in a study about Statistical physics of spatially extended food-webs. The position is available for the duration of three years within a newly funded research unit “Networks on networks: interplay of structure and dynamics in spatial food-webs”. Networks on networks are emerging as a new paradigm in complex network theory. Ecological food-webs provide a typical example, as they are extended in space and thus have two types of connections, namely local connections (feeding relations) between species and spatial connections (dispersal) between different locations. This interdisciplinary project is designed to investigate the structure and dynamics of “networks on networks” using food-webs as an example system. We will to explore how the local trophic network structure, the distribution of species in space and the population dynamics mutually influence each other. The successful candidate will establish robust quantitative measures for characterizing the spatial and trophic structure of spatial food-webs, develop statistical models which allow to generate large ensembles of plausible spatial food-webs test for emerging network topologies and scaling relationships (e.g. species-area and allometric scaling), and apply these methods to analyze empirical data of meta-communities. Applicants must have an above-average Diploma or Msc or equivalent in Natural Sciences. Applicants experienced with complex network theory or one of the relevant disciplines (theoretical ecology, meta-community or food-web research, mathematical modeling, or statistical physics) are particularly encouraged to apply. Applicants should have a strong interest to work in an interdisciplinary team and must have good knowledge of English. The Carl von Ossietzky University of Oldenburg is an equal opportunity/affirmative action employer. In order to increase the percentage of female staff members, qualified women are especially encouraged to apply. Applicants with disabilities will be preferentially considered in case of equal qualification. Applicants should send a letter of application and CV to Prof. Dr. Bernd Blasius, email: blasius@icbm.de. Review of applications will continue until the position is filled. Further informations: Prof. Dr. Bernd Blasius ICBM, D-26111 Oldenburg, Germany http://www.icbm.de/~mathmod
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VACANCY: Postdoctoral Research Associate Northeastern University and Harvard University Boston, Massachusetts USA RESEARCH AREA(S): Network Science and Network Medicine DESCRIPTION: The Center for Complex Network Research (CCNR) at Northeastern University, Department of Physics, in the group of Professor Laszlo Barabási is looking for exceptional candidates to fill one or several postdoctoral positions. The group currently focuses on the study of complex networks and network medicine. We are seeking candidates in each area. Our research on network medicine focuses on the properties of biological networks, with applications to human diseases. Our research on complex networks focuses on several problems, from network control to social networks, mobility patterns and fundamental issues in network science. The ideal candidate will have a recent Ph.D., a background in biophysics, computational biology, statistical mechanics, data mining, statistics or related areas and experience in computational modeling and analysis. Candidates with a strong analytical background and interest in interdisciplinary research will be given particular attention. Experience with network theory is a plus, but not a requirement. HOW TO APPLY: Please send your application consisting of a Cover Letter, Curriculum Vitae, Research Statement and two Letters of Recommendations to ccnrad@gmail.com<mailto:ccnrad@gmail.com>.
The Center for Complex Networks and Systems Research (CNetS.indiana.edu) at Indiana University, Bloomington has an open postdoctoral position to study how ideas propagate through complex online social networks. The position is funded by a McDonnell Foundation's grant in Complex Systems (www.jsmf.org/grants/2011022/). The appointment starts as early as possible after January 2013 for one year and is renewable for up to 2 additional years. The salary is competitive and benefits are generous. The postdoc will join a dynamic and interdisciplinary team that includes computer, physical, and cognitive scientists. The postdoc will work with PIs Filippo Menczer and Alessandro Flammini, other postdocs, and several PhD students on analysis and modeling of social media data. Areas of focus will include information diffusion patterns, epidemic models for the spread of ideas, interactions between network traffic and structure dynamics, and agent-based models to explain the emergence of viral bursts of attention. Domains of study will include politics, scientific knowledge, and world events. Go to the grant page or cnets.indiana.edu/groups/nan/truthy for further details on the team and project. The ideal candidate will have a PhD in computing or physical sciences; a strong background in analysis and modeling of complex systems and networks; and solid programming skills necessary to handle big data and develop large scale simulations. To apply, send a CV and names and emails of three references by email to <tgholbro@indiana.edu> or by mail to CNetS, 919 E 10th Street, Bloomington, IN 47408, USA. Applications received by 15 December 2012 will receive full consideration, but applications will be considered until the position is filled. Indiana University is an Equal Opportunity/Affirmative Action employer. Applications from women and minorities are strongly encouraged. IU Bloomington is vitally interested in the needs of Dual Career couples.
Via Complexity Digest
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1 Senior Researcher Position 5 Post-Doctoral Research Assistant Position 6 Post-Doctoral fellowships at University Aveiro This project aims to address a new field of research, which we named “Cloud Thinking”. Cloud Thinking sits on the intersection of the new computational techniques developed in the last years with the rich and dynamic information environment that constitute our current society. The scenarios of Ambient Intelligence, Ambient Assisted Living, Personalized Information Retrieval, Personalized Medicine, Cooperative Robotic behaviour, and Real-Time Clinical Test Monitoring are all well-known in multiple fields. However the high level of information retrieval, management and the amount of computational processing required for these scenarios have always impaired their realization. Although many of the concepts to realize these scenarios are known, the way to realize them requires tools and infrastructures that are not easily attainable. The projects’ ambition is the creation of a new set of solutions based in novel ICT technologies, developing a concept that encompasses the synergistic usage of cloud computing, with large database access and information retrieval, associated with advanced methods for reasoning and data mining (and with the basic scalable algorithms to support the dimensions of the data sets targeted). This concept, which we named “cloud thinking” in order to highlight the notion of complex information processing in high dynamic, multi-input, large data, environments, has the potential to be applied to several areas. The project is targeting the fields of Health and Robotics as two application areas over which to realize the global concepts which are the focus of the project, and to provide real feedback on the process of application of the developed concepts to concrete areas.
Did you know: Companies that haven’t put together comprehensive plans for managing and exploiting Big Data expect that the price tag for that failure to act will be $71 million in lost revenue per year?
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