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  • 1: List Date: 2015-08-06
    Position Title: Assistant Professor (2)
    Research Area(s): Quantitative Analysis, Complex Economical and Financial Systems
    Organization: IMT Institute for Advanced Studies Lucca
    URL: https://applications.imtlucca.it/young-research-fellows_positions/application.php
    Description:

    The IMT Institute for Advanced Studies Lucca invites applications for two Assistant Professor positions in Quantitative Analysis and Modelling of Complex Economical and Financial Systems to take part in the Horizon 2020 projects DOLFINS - Distributed Global Financial Systems for Society (http://www.dolfinsproject.eu/) and CoEGSS - Center of Excellence for Global Systems Science. Candidates should have demonstrable research activity in the field of Complex Systems and be an expert in the field of analysis of Economic and Financial Networks in order to interact with economists, physicists and computer scientists in the other nodes of the projects and (on specific issues) with the regulators in central banks. Candidates should have a PhD in Economics, Computer Science, Physics or a related field. An excellent level of English (both written and spoken), in addition to an excellent record of high-impact international publications and demonstrated enthusiasm for performing applied research in an interdisciplinary Research Unit, are mandatory. The appointed candidate will join the NETWORKS – Complex Networks Research Unit (http://networks.imtlucca.it/). Appointment compensation packages will depend on the candidates and their records of accomplishment, but are competitive on an international level. Applicants must be able to teach graduate courses in English; knowledge of Italian is not required. IMT Lucca (http://www.imtlucca.it) is a research university within the Italian public higher education system. IMT strives to establish itself as a research center that promotes cutting-edge research in key areas, structuring its PhD Program in close connection with research, to attract top students, researchers and scholars through competitive international selections, and to contribute to technological innovation, economic growth and social development.

    How to Apply:

    Interested candidates must apply by filling out the online application form at https://applications.imtlucca.it/young-research-fellows_positions/application.php. They will also be asked to submit a CV, research paper (published or working) and the name and contact details of three referees. The deadline for applications is September 1st, 12 pm (Italian time). For further information about the position, applicants can refer to the website.

    Location: Lucca, Italy
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  • 2: List Date: 2015-07-24
    Position Title: Postdoctoral Research Associate
    Research Area(s): Physics, Networks, Evolution, Theoretical Biology
    Organization: University of Notre Dame
    URL: https://academicjobsonline.org/ajo?apply-236-5755-1
    Description:

    Theoretical Many-Body Physics and Biology group at the Physics Department in University of Notre Dame is looking for a full time postdoctoral researcher, interested in the physics of complex systems, systems biology and network theory. Specifically, we are interested in modeling, simulating and controlling the evolution of symbiotic interactions in an experimentally relevant fashion. Candidates are expected to have a strong background in mathematics, especially stochastic processes and probability theory; and must have a Ph.D. degree in theoretical physics, engineering, pure or applied mathematics or computer science. Substantial experience with programming with C/C++ and/or Python and/or Matlab and/or Mathematica. Interest and/or knowledge in statistical mechanics, information theory and control theory. Good written, communication, and organizational skills, high creativity and self-motivation, eagerness to learn, and strong problem solving skills.

    How to Apply:

    The applications can be submitted through Academic Jobs Online. Please include your CV and at least two reference letters. Review of applications will start immediately. The ideal start date is early September 2015. The pay is approximately $50,000/year and a one-year contract is renewable upon success.

    Location: South Bend, Indiana
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  • 3: List Date: 2015-07-06
    Position Title: Postdoctoral Research Associate
    Research Area(s): Network Science, Network Medicine
    Organization: Northeastern University - Center for Complex Network Research
    URL: https://neu.peopleadmin.com/postings/34088
    Description:

    The lab of Professor Albert-László Barabási, together with the Network Science Institute at Northeastern University and the Division of Network Medicine at Harvard University, is looking for postdoctoral associates in the area of network science and network medicine. We are seeking motivated individuals with network science experience and interest in applying it towards both social and biological systems. The ideal candidate has a physics, bioinformatics, computer science or mathematics PhD, and previous work experience in networks and/or bioinformatics. For a range of projects characterizing the lab see www.barabasilab.com. Our current work spans the applications of network towards understanding human diseases, to quantifying success in scientific careers, or understanding the fundamentals of network dynamics.

    How to Apply:

    Interested candidates should submit a formal application here: https://neu.peopleadmin.com/postings/34088

    Location: Boston, Massachusetts
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  • 4: List Date: 2015-06-29
    Position Title: R&D Scientist
    Research Area(s): statistical analysis
    Organization: Skyhook is location. Our team is made up of creative and passionate individuals who are focused on creating highly contextualized and location specific mobile experiences across the globe. Innovation is in our DNA. Our headquarters in Boston’s exciting Innovation District are filled with Ideapaint, standing desks, bean bag chairs, crowd-controlled Sonos radio and a kitchen full of snacks. Our office is a collaborative open space that allows all of our teams to create and innovate together. If you love scaling and analyzing billions and billions of location samples, dealing with noisy data and are fanatical about building technology that drastically improves user experiences, we want to hear from you!
    URL: http://www.skyhookwireless.com/careers-single?x=oal60fwl
    Description:

    As Skyhook’s Research & Development Scientist, you will work on different Skyhook positioning technologies to enhance and also further optimize existing algorithms for accuracy, power consumption and time-to-fix. You will help the Skyhook team explore new approaches and new positioning technologies for mobile devices. Your work involves statistical analysis of anonymous usage-data of millions of devices using Skyhook’s worldwide solution. As Skyhook’s R&D scientist, you will be working with other R&D team members, engineering team, and product team. You will be able to influence the direction of the mobile location industry, because we are the location leaders. We literally put location on the map. You will help to strengthen Skyhook’s deep portfolio of intellectual property that is foundational to mobile location and location-based contextual enrichment.

    How to Apply:

    We look for the following in our R&D Scientist: Strong math background, specifically probability and statistics. Strong knowledge of at least one programming language, i.e. C/C++, JAVA, Python or Matlab. Master in Science. Excellent written and verbal communication skills with strong problem solving skills. Interest in challenging technical projects. R&D Scientist Qualifications: PhD in EE and CS fields 4+ years industry experience Experience with GPS Experience with inertial systems Experience with handling big data, and statistical data analysis Experience with radio propagation Familiarity with geospatial concepts and technologies is a major plus

    Location: Boston, Massachusetts, USA
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  • 5: List Date: 2015-06-22
    Position Title: RA at MIT in Sustainability of Complex Ecological Networks
    Research Area(s): Environmental Engineering / Quantitative Ecology
    Organization: Our work is quantitatively and computationally inclined sustained by field ecological data.
    URL: https://sites.google.com/site/sergueisaavedra/opportunities
    Description:

    Ecological networks are the description of interacting populations of different biological species sharing the same geographical area and time. These networks are characterized by temporal changes and constitute the skeleton of biodiversity and natural resources. Are you interested in understanding how ecological networks respond to environmental changes? Are you interested in engineering quantitative tools to assess how ecological networks are changing and will change? How can we design sustainable strategies to increase the likelihood of persistence of ecological networks subject to biotic and abiotic variations?

    How to Apply:

    You can send me an email to sersaa [at] mit.edu including research statement and CV. Candidates must fulfil MIT CEE PhD program requirements.

    Location: MIT, Cambridge, Massachusetts, USA
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  • 6: List Date: 2015-05-11
    Position Title: Postdoctoral Fellow
    Research Area(s): Computer Science, Network Science, Statistical Inference
    Organization: Simula Research Laboratory
    URL:
    Description:

    We are looking for a postdoctoral fellow to join our team of senior and junior researchers in the Networks department of the CRNA. The successful candidate will mainly work within a nationally funded project called DOMINOS which aims to follow an empirical measurement-driven approach for dissecting and modeling interdependencies between communications networks both at the national level and at the global level. Our goal is two folds. First, we would like to develop a framework for empirically quantifying interdependencies in a network of networks. Such framework will help different stakeholders including regulators, operators, and end users gaining insights into the overall reliability of the systems they manage, own, operate and use. Second, we would like to raise the awareness for the potential catastrophic impact of large-scale failures. Hence, bringing the reliability of communication networks to the forefront of the national and global debate about infrastructures. In addition, we envision that the methods we intend to develop can be reused by research that studies networks of networks in different contexts. For example, biological networks of networks and financial and trade networks. Thus, enabling future opportunities for interdisciplinary collaborations. The postdoctoral fellow position is for two years and the successful candidate is expected to: Contribute to devising inference schemes to identify interdependencies between networks; Investigate the resiliency of and the interdependencies in the global routing system; Collaborate with the project manager and external collaborators on building a framework for assessing and improving network observability; Supervise and cooperate with master and Ph.D. students

    How to Apply:

    For more information, please contact Dr. Ahmed Elmokashfi (ahmed@simula.no, +4747452315)

    Location: Fornebu, Norway
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  • 7: List Date: 2015-03-31
    Position Title: Postdoctoral Research Associate
    Research Area(s): Network Science, Computer Science, Statistics, Applied Math
    Organization: Georgetown University
    URL:
    Description:

    Applications are invited for a postdoctoral research associate position in the network modeling of ZOMBIE ANTS. This position will be funded by the U.S. National Science Foundation (NSF) and will be based in the group of Shweta Bansal (http://bansallab.com) at Georgetown University, in close collaboration with the group of David Hughes (http://www.hugheslab.com/) at the Center for Infectious Disease Dynamics at Penn State University. Successful applicants will develop mathematical and statistical network models using highly-resolved contact data to infer behavioral processes and model transmission. The ideal candidate has a PhD in statistics, applied mathematics, computer science or another highly quantitative field and previous experience in statistical and dynamical modeling of networks. Previous experience in change point analysis and time-varying networks is highly preferred. Candidates should demonstrate a track record of publication; have strong organizational, written, and oral communication skills; and be able to work both independently and as part of a collaborative team Initial appointments will be for one year, with possible renewal to a second year depending on progress. The salary will be in the range of $48,000-55,000 per year (depending on experience), plus fringe benefits. The preferred starting date is May 2015, but is negotiable. Georgetown University is a vibrant scientific community and the successful applicant will be afforded many opportunities for professional development. Washington D.C. offers a rich cultural and intellectual life, in the heart of the U.S. domestic and international policy scene. Georgetown University is an Equal Opportunity Employer.

    How to Apply:

    Applicants should send a cover letter, a detailed CV, a brief statement of research interests, and names and contact information for three references to Shweta Bansal (e-mail: shweta@sbansal.com). The cover letter should discuss possible starting dates. Review of applications will begin immediately and will continue until the post has been filled.

    Location: Washington, DC
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  • 8: List Date: 2015-03-20
    Position Title: Postdoctoral Fellow
    Research Area(s): Network Science, Computational Social Science, Complex Systems
    Organization: Pennsylvania State University
    URL: http://dashunwang.com/opening.html
    Description:

    The College of Information Sciences and Technology at the Pennsylvania State University, in the group of Professor Dashun Wang is looking for an exceptional candidate to fill the position of Postdoctoral Fellow. The group currently focuses on a number of fundamental projects at the boundary of network science and computational social science, including social networks, science of science, human dynamics, as well as fundamental questions in complex systems. The successful applicants are expected to have a strong background in one or more of the aforementioned areas. Excellent organizational and interpersonal skills, along with a stated interest in data and network sciences, are essential. Hands-on experience with large-scale datasets as well as complex systems modeling and analysis is a strong plus. Qualifications: The successful candidate must hold a Ph.D. or expected PhD in Physics, Applied Mathematics, Computer Science, Information Science, or a closely related field.

    How to Apply:

    How to apply: Candidates must submit to Dashun Wang (DashunWang@gmail.com) with subject heading “(your name) – Postdoc”, containing: 1) cover letter, describing your interest in and qualifications for this position; 2) curriculum vitae (including publications list); 3) two or three letters of recommendation emailed separately by the writers. Deadline for applications: April 15th, 2015 or until the position is filled.

    Location: State College, Pennsylvania
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  • 9: List Date: 2015-03-18
    Position Title: Postdoctoral Fellow
    Research Area(s): Dynamics of Complex Networks, Temporal Networks, Human Mobility Modeling, Nonlinear Time Series, etc
    Organization: Harbin Institute of Technology, Shenzhen Graduate School
    URL:
    Description:

    The Centre for Applied Mathematics at the Harbin Institute of Technology Shenzhen Graduate School invites applications from qualified mathematicians, physicists, statisticians and researchers in related fields for 2-year Postdoctoral Research Fellowships. Designed to attract the talented researchers in the world, each Fellowship provides a significant opportunity to conduct high-level research at one of China’s premier C9 League of universities. Current research directions at the Centre for Applied Mathematics include: 1) Nonlinear time series analysis and transformation between complex networks and time series 2) Dynamics of complex networks, temporal networks 3) Biomathematics with focus on miRNA sequence, expression and cancer cell proliferation 4) Modeling for human mobility behaviors and data mining. Applicants should have PhD degree in physics, mathematics, computer sciences or related disciplines, and demonstrate a commitment to full-time research and publication. The precise area of research is open though the possibility of collaboration with mentor support on existing and new project application is also encouraged.

    How to Apply:

    All the applicants interested in the position should contact Dr. Yi Zhao, zhao.yi@hitsz.edu.cn or Dr. Slobodan Maletić, slobodan@hitsz.edu.cn. To apply, please send a full CV, a research statement with a brief research plan, and contact details of referees as a package. All applications will be reviewed immediately, and early submission is encouraged. Please note that only SHORTLISTED candidates will be notified.

    Location: Shenzhen, China
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  • 10: List Date: 2015-03-18
    Position Title: PhD Program in CSSE
    Research Area(s): Computer Science and Systems Engineering
    Organization: IMT Institute for Advanced Studies Lucca
    URL: www.imtlucca.it/phd/prospective/application
    Description:

    Applications are now being accepted for PhD students in Computer Science and Systems Engineering for the 2015/16 PhD program at IMT Institute for Advanced Studies Lucca (www.imtlucca.it). The three-year doctoral program is articulated in curricula. The 3 curricula currently offered are field-specific, although in many instances they share a common scientific background. The CSSE curriculum provides the doctoral student with a solid interdisciplinary background to analyze cyber-physical systems and provide solutions to a huge variety complex engineering problems. The program of studies is based on a set of common courses, covering the fundamentals of numerical linear algebra and numerical methods for differential equations, computer programming, dynamical systems and control, numerical optimization, stochastic processes, and machine learning. These basic courses are followed by a number of advanced courses and research seminars related to the different areas of specialization for the PhD work that can be chosen by the student. The specialization in computer science deals with the development of models, algorithms, and verification methods for modern distributed systems, focusing on cutting-edge research issues on the fundamentals and the applications of architectures and languages to modern distributed systems, including global and cloud computing systems, web systems and services, and mobile systems. The specialization in control systems is oriented towards identification and optimization-based control of dynamical systems, with an emphasis on real-time embedded optimization algorithms for control of stochastic, distributed, and large-scale dynamical systems, and their application in industrial problems arising from the automotive, aerospace, and smart-grid domains. The specialization in computational mechanics is concerned with the development of innovative computational methods to study advanced problems of solid mechanics, fluid mechanics, and cutting-edge problems involving multiple fields and length scales of high interest in both the academic and industrial sectors. Students focusing on image analysis work on devising new machine learning and data mining algorithms for innovative feature extraction, sparse data representation and scientific visualization of large-scale multimodal data, with emphasis on images arising in the natural and life sciences. Graduates from the curriculum will be qualified to work in universities, public and industrial research centers, and to take on professional roles and high-profile tasks and responsibilities in both private companies and public institutions. All students are based in the newly restored San Francesco complex, a fully integrated campus in the historical center of the beautiful Tuscan city of Lucca. The campus includes residential facilities, including an on-site canteen, study and living rooms, and outdoor recreational spaces, all serving to add a cultural and social dimension to the professional experience of the doctoral program. Eligible students will also receive a research scholarship which amounts to approximately €13,600/year.

    How to Apply:

    The PhD program at IMT attracts students from around the world, providing a truly international environment. English is the official language of the Institute. To further enhance the internationality of the program, all students have the opportunity to spend anywhere from 2-9 months abroad at a research institute or university, with the possibility of receiving additional financing through the Erasmus+ program. To find out more about the institute, the requirements for admission and how to apply, please see www.imtlucca.it/phd. You can also sign up for our free interactive webinar brightrecruits.com/webinars/. The deadline for applications is June 29th 2015, 6 pm Italian time.

    Location: Lucca, Italy
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  • 11: List Date: 2015-03-17
    Position Title: Postdoctoral Research Associate
    Research Area(s): Network Science, Biological Networks, Network Medicine
    Organization: Northeastern University
    URL: https://neu.peopleadmin.com/postings/34088
    Description:

    Responsibilities: Performs basic or applied techniques in two main lines of research, involving systems biology and social networks. We are currently accepting applicants in biology. Prepares and writes research papers, presentations, grant proposals, etc. Our research on systems biology focuses on the properties of biological networks, with applications to metabolic modeling, flux balance methods, and human diseases. The research on social networks involves the study and modeling of extensive communication datasets. Primary responsibility is ensuring that the research is complete. The appointment generally does not extend beyond two years. Qualifications: Must have a Ph.D.; be able to undertake substantially full-time research or scholarship; work under the supervision of a senior scholar. Strong analytical background and interest in interdisciplinary research including biophysics, computational biology, statistical mechanics, data mining, statistics and related areas and experience in computational modeling and analysis. Candidates with a strong analytical background and interest in interdisciplinary research will be also given particular attention. Experience with network theory is a plus, but not a requirement.

    How to Apply:

    Please fill out application here: https://neu.peopleadmin.com/postings/34088

    Location: Boston, Massachusetts
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  • 12: List Date: 2015-02-24
    Position Title: Data Scientist Summer Internship
    Research Area(s): data analysis, computer science, Big Data, programming
    Organization: United Nations OPS
    URL: https://gprs.unops.org/Pages/ViewVacancy/VADetails.aspx?id=6881
    Description:

    Global Pulse is a flagship innovation initiative of the United Nations Secretary-General on big data. Its vision is a future in which big data is harnessed safely and responsibly as a public good. Its mission is to accelerate discovery, development and scaled adoption of big data innovation for sustainable development and humanitarian action. Global Pulse is seeking exceptional candidates for summer interns to undertake groundbreaking work linking a rich dataset of postal records to macroeconomic indicators in collaboration with the Universal Postal Union. - Provide support in data analysis and software development including analysis of network data from big data sources such as postal data or social media data. - Review and document background scientific research on relevant topics. - Assist in reviewing and vetting various data sets resources that could be relevant to ongoing or potential Big Data for Development research projects. - Assist in the design and development of reusable data visualizations. - As required, assist the Communications team with the production of blog posts, scientific articles, or other knowledge-sharing collateral.

    How to Apply:

    All applicants must be studying for a Master’s or PhD (or equivalent)’ or have graduated from such studies within three prior to the application date of the internship. Area of study should be preferably Computer Science, Complex Systems, Data Science, Engineering, Information Design, or any other related specialty. -Qualified candidates may submit their application through the online recruitment system, administered by UNOPS on behalf of Global Pulse. -Candidates are kindly requested to upload their current CV, resume or P-11 form and submit three references. Only applications received through the UNOPS website will be considered

    Location: New York City, New York, USA
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  • 13: List Date: 2015-02-02
    Position Title: PhD position in Systems and Network Biology
    Research Area(s): Systems biology, Computational biology, Complex Networks and Systems
    Organization: Norwegian University of Science and Technology, NTNU
    URL: http://www.jobbnorge.no/en/available-jobs/job/109888/phd-position-in-systems-and-network-biology
    Description:

    The translational systems biology project “GMO free systems optimization of wine yeast for wine production by massive scale directed evolution” which starts early 2015. This project is funded by ERASysAPP, a European-wide ERA-net for systems biology. The project consists of partners in Norway, Sweden, Germany, and Spain, and is coordinated by NTNU in Norway. The aim of this project is to use a novel massively parallel experimental evolution platform in iterative combination with computational modeling to utilize evolutionary mechanisms to generate optimized yeast strains with specific properties. The candidate will be part of a research team with broad international experience and will play a central role in the systems biology data analysis and computational modeling. The candidate will use constraint-based optimization, such as Flux Balance Analysis (FBA), to investigate and forecast cellular responses in the experiments: FBA may be used to model whole-cell metabolic network of yeast to analyze the utilization of cellular metabolism under different nutrient and environmental.

    How to Apply:

    Applications must be submitted electronically through www.jobbnorge.no. A complete application will include (1) a CV that has information about education, scientific work and previous work experience. It will also include (2) contact information for three references, and (3) a 1-3 page discussion of the candidate’s systems biology research interests and experience, and the candidate’s vision for / experience with constraint-based analysis. Certificates from B.Sc. and M.Sc., possible publications and other scientific works, copies of transcripts, copies of documentation on English language proficiency test, and reference letters must also be submitted.

    Location: Trondheim, Norway
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  • 14: List Date: 2014-12-19
    Position Title: Postdoctoral Researcher in Computational Social Science (two posts)
    Research Area(s):
    Organization: University of Oxford
    URL: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=116460
    Description:

    We are a leading international multidisciplinary research and policy institute at the University of Oxford, looking for two full-time Postdoctoral Researchers to join Dr Taha Yasseri to work on his funded projects, “HUMANE: a typology, method and roadmap for HUman-MAchine Networks” and “Collective Memory in the Digital Age; understanding “forgetting” on the Internet”. In both projects quantitative analysis will be performed on large scale transactional data collected from the web to understand social aspects of collective online behaviour. Applicants should hold (or be completing) a PhD in Social Sciences, Computer Science or Informatics, Physics, Mathematics, or any other relevant discipline, have a strong interest in the social aspects of online technologies and proven experience in performing and writing papers based on quantitative research. The successful applicants will work in a multidisciplinary research team and contribute to the research projects at all their stages, including literature review, research design, data collection, data analysis, writing papers, presenting at conferences, and other dissemination activities, e.g., writing blog posts.

    How to Apply:

    Based at our OII North office at 34 St. Giles, Oxford, these positions are available from 1st April 2015 or as soon as possible thereafter, for 18 months in the first instance, with the possibility of extension, depending on funding. Applications for this vacancy are to be made online. The application form and further details, including a job description and selection criteria, are available on the Oxford University's recruitment website. Further information can be obtained from taha.yasseri@oii.ox.ac.uk The closing date for applications is 12:00 GMT on Monday 19 January 2015 and only applications received before then can be considered. Interviews for those short-listed are currently planned to take place in the week commencing Monday 2 February 2015.

    Location: United Kingdom
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  • 15: List Date: 2014-10-17
    Position Title: Assistant, Associate and Full Professor Positions
    Research Area(s): complex networks and systems
    Organization: Indiana University, School of Informatics and Computing, Faculty Position in Complex Networks and Systems
    URL: https://indiana.peopleadmin.com/postings/969
    Description:

    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. The SoIC is the first of its kind and among the largest in the country, with unsurpassed breadth. Its mission is to excel and lead in education, research, and outreach spanning and integrating the full breadth of computing and information technology. It includes Computer Science, Informatics, and Library and Information Science, with over 85 tenure-line faculty, 900 graduate students, and 1100 undergraduate majors. It offers Ph.D.s in Computer Science, Informatics, and Information Science. The SoIC Center for Complex Networks and Systems Research (cnets.indiana.edu) currently has 10 faculty members with strong ties to several other units at Indiana University that pursue research in the field of Complex Systems, including Cognitive Science, Psychology, Physics, Sociology, Political Science, Biocomplexity, and Information Science. Center faculty research areas include complex information and social networks, data science, Web science, social computing, computational biology, robotics, computational intelligence, bio-inspired computing, large scale data modeling and simulation, and science of science & innovation. We are particularly interested in strengthening our emphasis on data-driven exploration and modeling of networks, social systems, and their dynamics. Bloomington is a culturally thriving college town with a moderate cost of living and the amenities for an active lifestyle. IU is renowned for its top-ranked music school, high-performance computing and networking facilities, and performing and fine arts.

    How to Apply:

    Applicants should submit a CV, a statement of research and teaching, and names of 6 references (3 for junior level) using the link below (preferred): http://indiana.peopleadmin.com/postings/969 (Complex Networks and Systems) or to Faculty Search, SoIC, 919 E 10th St, Bloomington, IN 47408. Questions may be sent to hiring@soic.indiana.edu. For full consideration applications are due by December 1, 2014.

    Location: Bloomington, Indiana USA
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  • 16: List Date: 2013-12-06
    Position Title: Postdoctoral Research Associate
    Research Area(s): Networks / Complex Systems, Systems Biology, Social Networks, Control Theory
    Organization: Northeastern University (Center for Complex Network Research) & Harvard University (Division of Network Medicine)
    URL:
    Description:

    The Center for Complex Network Research (CCNR) at Northeastern University and Division of Network Medicine, Harvard Medical School, in the group of Professor László Barabási is looking for exceptional candidates to fill the position of Postdoctoral Research Associate. The group currently focuses on systems biology, social networks, as well as fundamental questions in complex systems, at the boundary of control theory, network science and quantum networks. We are seeking candidates in each area. RESPONSIBILITIES Performs basic or applied techniques to systems biology, social networks, control theory and dynamical systems. Prepares and writes research papers, presentations, grant proposals, etc. Our research on systems biology focuses on the properties of biological networks, with applications to metabolic modeling, flux balance methods, and human diseases. The research on social networks involves the study and modeling of extensive communication datasets. Primary responsibility is ensuring that the research is complete. The appointment generally does not extend beyond two years. QUALIFICATIONS Must have a Ph.D. or equivalent; be able to undertake substantial full-time research or scholarship; work under the supervision of a senior scholar. Strong analytical background and interest in interdisciplinary research including biophysics, computational biology, statistical mechanics, data mining, statistics, and related areas and experience in modeling and analysis. Experience with network theory is a plus, but not a requirement.

    How to Apply:

    HOW TO APPLY A completed application consists of an email with subject heading "(your name) -- Postdoc" containing two PDF attachments: a (i) current CV with publication list and (ii) a short statement of research experience and interests, plus (iii) two letters of recommendation emailed separately by the writers to: Brett Common / common.ccnr@gmail.com Northeastern University is an equal opportunity, affirmative action educational institution and employer, Title IX university.

    Location: Boston, Massachusetts
    Listed by:
    Email:



Barabási Lab / Center for Complex Network Research at Northeastern University * 111 DA/Physics Dept. * 110 Forsyth Street * Boston, MA 02115


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