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  • 1: List Date: 2016-09-21
    Position Title: Four Tenure Track Positions
    Research Area(s): Cybersecurity, Computational Intelligence, Complex Systems, and Computational Biology
    Organization: University of Vermont
    URL: http://www.uvm.edu/~cmplxsys/people/four-tenure-track-positions-in-computer-science-complex-systems/
    Description:

    We’re very excited to announce that we are hiring Four Tenure-Track Positions in Computer Science & Complex Systems at UVM. Details below, please share widely. The College of Engineering and Mathematical Sciences (CEMS) at the University of Vermont (UVM) is seeking applications for four tenure-track faculty positions in Computer Science and Complex Systems, with a Fall 2017 start date. These positions will be at the rank of Assistant Professor, or Associate Professor with tenure for outstanding candidates already at that rank. We seek candidates with active research in one or more of the following areas: Cybersecurity, especially in languages and verification, or applications of machine learning or complex systems approaches to cybersecurity. Computational Intelligence, broadly defined to include data mining, machine learning, data science, bio-inspired approaches, and Deep Learning, with broad potential for applications to Big Data in areas such as biology, medicine, cybersecurity, social science, sociotechnical systems, and/or environmental science. Complex Systems, modeling and/or analysis of emergent phenomena allied with data-driven empirical work, ideally with applications in biology, medicine, cybersecurity, the social sciences, sociotechnical systems, and/or environmental science. Computational Biology, computational approaches to the study of biological systems such as in genomics, proteomics, phylogenetics, biological pathways or networks, etc. Ideally, potential for synergies between candidates should be evident, and cluster hires focused on some subset of the above topics are possible. Existing teams of collaborators are encouraged to apply. At least two of the positions will have primary appointments in Computer Science; the other two could have primary appointments in Computer Science, Mathematics, Statistics, or Engineering (Civil, Environmental, Electrical, Mechanical, or Bioengineering), depending on the qualifications and desires of the candidates. We are particularly interested in candidates who would interact closely with researchers in the post-disciplinary Vermont Complex Systems Center and/or the UVM College of Medicine. Applicants must have a Ph.D. in a relevant field, a strong research record with excellent potential for external funding, and the potential to supervise masters and doctoral students. Postdoctoral experience is preferred. Successful candidates will be expected to contribute to the undergraduate and graduate teaching mission of their primary unit and ideally also participate in transdisciplinary graduate education in Complex Systems & Data Science. The University is an Equal Opportunity/Affirmative Action employer and actively encourages applications from women, veterans, and people from diverse racial, ethnic, and cultural backgrounds. To that end, candidates must provide a diversity impact statement as part of the application detailing how they will further the diversity of CEMS through their teaching, research, and/or service at UVM. DSG_8200_p.jpeg The University of Vermont, established in 1791, is a comprehensive research university with a current enrollment of 12,000+ undergraduate, graduate, and medical students. The scientific and academic environments in CEMS, and throughout UVM, are dynamic, highly collaborative, and multi-disciplinary. UVM has state of the art core facilities, including the Vermont Advanced Computing Center and the Advanced Genome Technologies Core, and offers generous benefits packages, including health, dental, retirement contributions, and tuition remission. The University is located in beautiful Burlington, Vermont, about 90 miles south of Montreal. Burlington is consistently ranked as one of the best small cities in America for quality of living, and features year-round outdoor recreation and cultural events. Greater Burlington has a population of approximately 150,000 and enjoys a panoramic setting on Lake Champlain, bordered by the Adirondack and Green Mountains.

    How to Apply:

    The applicant must submit a cover letter identifying his or her specific area(s) of expertise and which department(s) they would prefer a primary appointment in, a current curriculum vitae, a statement of teaching philosophy, a detailed statement of research interests, the diversity statement described above, and names of at least three people who can provide letters of reference, at least one of which who can comment on teaching. All application materials must be submitted online at the UVM jobs website, position #005140. Applicants are also encouraged to create a Google Scholar profile. Inquiries may be addressed to the Search Committee Chairperson, Dr. Chris Danforth (Chris.Danforth@uvm.edu). Applications will be accepted until filled; review of applications will begin on December 1, 2016.

    Location: Burlington, Vermont
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  • 2: List Date: 2016-09-21
    Position Title: Postdoctoral Research Associate
    Research Area(s): Network Science, Network Medicine, Biological Networks, Control theory as it applies to biological and dynamical systems
    Organization: Center for Complex Network Research/Barabasi Lab together with the Network Science Institute at Northeastern University and the Division of Network Medicine at Harvard University
    URL: www.barabasilab.com
    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, network medicine, and control theory. We are seeking motivated individuals with network science, biological networks, or control theory experience and interest in applying it towards biological and dynamical systems. The ideal candidate has a physics, bioinformatics, computer science or mathematics PhD, and experience in networks and/or bioinformatics. For a range of projects characterizing the lab see www.barabasilab.com. Our current research spans the applications of network towards understanding human diseases, to quantifying success in scientific careers, and understanding the fundamentals of network dynamics.

    How to Apply:

    All interested candidates should submit a formal application consisting of (i) a current CV with publication lists, (ii) a brief statement of research experience and interests, and (iii) two letters of recommendation sent separately by the writers to: James Stanfill at ccnrpostdoc@gmail.com or at Northeastern University, Center for Complex Network Research, 1100-177 Huntington Ave, Boston, MA 02115.

    Location: Boston, MA
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  • 3: List Date: 2016-08-29
    Position Title: Two Postdoctoral Positions
    Research Area(s): Complex Networks and Dynamical Systems
    Organization: University of Namur and Universite Catholique de Louvain
    URL: http://xn.unamur.be/
    Description:

    We are looking to recruit two post-doctoral researchers for an inter-disciplinary collaboration between the University of Namur (Renaud Lambiotte) and the Université catholique de Louvain (Jean-Charles Delvenne). The first project focuses on problems at the interface between data mining, network science and dynamical systems. Areas of interest include finding structures in temporal networks and elucidating the interplay between structure and dynamics in complex systems. The second project focuses on simplicial complexes and networks. The focus will be on extending network modelling techniques to higher-order relationships, and understanding their impact on dynamics. The latter project is in collaboration with Michael Schaub.

    How to Apply:

    For more information, please contact Renaud Lambiotte (renaud.lambiotte@unamur.be) or Jean-Charles Delvenne (jean-charles.delvenne@uclouvain.be)

    Location: Belgium
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  • 4: List Date: 2016-08-10
    Position Title: Postdoctoral Fellowship
    Research Area(s): Network Medicine, Network Science
    Organization: The Channing Division of Network Medicine (CDNM) at Brigham and Women's Hospital and Harvard Medical School
    URL: http://www.nature.com/naturejobs/science/jobs/588365-postdoctoral-fellowship-in-network-medicine-and-network-science
    Description:

    The Channing Division of Network Medicine (CDNM) at Brigham and Women’s Hospital and Harvard Medical School is looking for exceptional candidates to fill an NIH T32 postdoctoral fellowship position in Network Medicine and Network Science. The research will be done under the mentorship of Professor Yang-Yu Liu (http://scholar.harvard.edu/yyl/), with opportunities for collaboration with other faculty at CDNM who have expertise in statistics, bioinformatics, epidemiology, genetic epidemiology, and genomics of complex human diseases. CDNM is the home of the ongoing Nurses’ Health Study and multiple respiratory disease studies. From these cohorts, CDNM has DNA samples from more than 200,000 individuals. CDNM also has extensive computer resources. Eligibility: NIH requires the postdoctoral fellow to be a US Citizen or green-card holder. The fellow is also expected to have a strong background in one or more of the following fields: network science, dynamical systems, bioinformatics, biostatistics, machine learning, computational biology, and statistical physics. Excellent organizational and interpersonal skills, along with a stated interest in interdisciplinary research, are essential. Computer programming and analytic experience with large datasets is a plus. Starting date: Nov. 1st, 2016. Duration: The fellow will initially be funded for one year. Based on the fellow’s performance in the first year, we may fund the fellow for another year.

    How to Apply:

    Application: Please send your application consisting of Cover Letter, Curriculum Vitae and Research Statement (as one single PDF file) to yyl@channing.harvard.edu, by Oct. 1st, 2016; and arrange three recommendation letters sent directly from the letter writers to yyl@channing.harvard.edu by Oct. 1st, 2016

    Location: Boston, MA
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  • 5: List Date: 2016-08-04
    Position Title: Postdoctoral Scholar
    Research Area(s): Data Science
    Organization: Georgen Institute of Data Science at the University of Rochester
    URL: https://www.rochester.edu/data-science/index.html
    Description:

    The Georgen Institute of Data Science at the University of Rochester has an opening for an exceptional candidate at the Postdoctoral level. The candidate will work jointly in the groups of Prof. Ehsan Hoque at the Department of Computer Science and Prof. Gourab Ghoshal at the Department of Physics and Astronomy. Profs. Hoque and Ghoshal are focused on a number of Big Data related projects at the intersection of Network Science, Human Computer Interaction, Computational Social Science and Affective Computing. The ideal candidate should have a PhD in Computer Science, Physics, Applied Mathematics or a closely related field. Priority will be accorded to those with experience parsing large-scale datasets, simulation and analytical modeling of Complex Systems as well as a stated interest in Complex Networks and Data Science. Candidates with prior experience, and strong interest in research that intersects multiple disciplines are strongly encouraged to apply. Appointments will be for one year and subject to renewal contingent on performance.

    How to Apply:

    Applications may be submitted by email to mehoque AT {cs dot rochester dot edu} or gghoshal AT {pas dot rochester dot edu} and must include 1) Name —Postdoc in the subject heading 2) Two to three letters of recommendation submitted separately by the letter writers 3) CV with publications and 4) A brief statement outlining your research interests. About the University of Rochester: The University of Rochester is a private, Tier I research institution located in western New York State. It consistently ranks among the top 30 institutions nationally, both public and private, in federal funding for research and development.

    Location: Rochester, NY
    Listed by: James
    Email: James



  • 6: List Date: 2016-07-26
    Position Title: Professor in Computational Science, especially Complex Systems
    Research Area(s): Professor in Computational Science, especially Complex Systems
    Organization: Aalto University is a community of bold thinkers where science and art meet technology and business. Aalto University has six schools with nearly 20 000 students and 4 700 employees, 390 of which are professors. Our campuses are located in Espoo and Helsinki, Finland.
    URL: http://www.aalto.fi/en/about/careers/jobs/view/906/
    Description:

    Tenure track or tenured position in Computational Science, especially Complex Systems The position can be filled on any level from Assistant Professor to tenured Full Professor. The position is open to talented individuals with excellent potential for a productive scientific career. Especially talents with high future potential are encouraged to apply. Job Description The position is located in the department of Computer Science (http://cs.aalto.fi/en/) and it is an integral part of the department’s Complex Systems research area (http://complex.cs.aalto.fi), where the current application foci include social, technological and societal systems, network neuroscience, and recently health and wellbeing as well as biology and genetics. Methodologically, much of the work is based on the complex networks approach and more generally on the tools of computational and data science as well as data analytics. The candidates are expected to show excellence in at least one of the following focus areas for research and teaching: i) large scale structure and dynamical phenomena in complex systems, ii) network science approach to complex systems (including theory and computational methods), iii) interdisciplinary applications, e.g. in the above-mentioned social, techno-social and societal systems, as well as in systems biology and network neuroscience, and health and wellbeing. For all of these, the main emphasis will be on research on the structure, function, and dynamics of complex systems, using and developing appropriate computational and theoretical tools, and building on empirical data and its

    How to Apply:

    Applications with attachments for the tenure track position are to be addressed to the President of Aalto University and submitted through the link below (Apply for this job) no later than August 14, 2016. Applications shall consist of one single pdf file, with file name “lastname_firstname_application.pdf”. All material should be in English. The application material shall include cover letter that includes a summary of merits and most important achievements, curriculum vitae (with contact details), research statement describing past research and plans for future, teaching portfolio, list of publications including five most important publications clearly distinguished in ranked order (1,...,5) with links to their pdf versions, and all publications categorized as follows: peer-reviewed journals peer-reviewed conferences other publications referees (names and complete contact information of five (5) persons willing to give references). General instructions for applicants including guidelines for compiling teaching portfolio and CV are given at www.aalto.fi/en/tenure_track/for_applicant. Aalto University reserves the right for justified reasons to leave the position open, to extend the application period and to consider candidates who have not submitted applications during the application period.

    Location: Espoo and Helsinki, Finland
    Listed by: Professor Kimmo Kaski
    Email: Professor Kimmo Kaski



  • 7: List Date: 2016-07-05
    Position Title: PhD training (3 years) or Postdoc position (1+1 year)
    Research Area(s): Complex networks, dynamical networks, data science, computational modelling
    Organization: The candidate will be hosted by the Inria DANTE team (team.inria.fr/dante/) at LIP ENS Lyon (www.ens-lyon.fr). The program will be directed by Dr. Eric Fleury (Professor, Computer Science Department, ENS Lyon) and co-directed by Dr. Márton Karsai (Assistant Professor, Computer Science Department, ENS Lyon). For decades studies of social behaviour have been limited to the analysis of small-scale datasets, typically collected by surveying a sample of individuals, or by direct observations after placing them in a carefully controlled experimental setting. Although these techniques have proven to be useful, they were limited by their methodology and the size of the data collected. However, through the advent of the digital data revolution automatically and unobtrusively collected information on the language, habits, interests, and interactions of millions of people allows now to make “in vivo” observations on the behaviour of single egos. At the same time industrial tools for large-scale distributed online experiments, such as Amazon’s Mechanical Turk, have been developed allowing us to test earlier hypothesis and directly ask novel questions. The combination of these new methodologies together with large datasets, state of the art techniques for data analysis, and data-driven modelling provides us with an unprecedented opportunity to understand the dynamics and formation of society and its coevolution with the ongoing language evolution in realistic settings. This approach calls for cooperation and methodologies borrowed from various fields of science as Linguistics, Statistical Physics, Computer Science, Complex Network Theory, and Social Science.
    URL:
    Description:

    During the program the successful candidate will analyse and model human interactions and dynamical processes intermediated by them. Social contagion phenomena, information diffusion, and most importantly language itself are the best examples within our focus. To achieve these goals the candidate is going to carry out research in the following directions: - Observing, analysing, and modelling temporal patterns of interactions from the level of individuals to the level of globally connected social networks. This direction goes along with theoretical contribution to the fundamental description of temporal networks. Our aim is to provided metrics and computational models to describe and predict complex patterns of collective phenomena in modern online societies. - Study the relation between the spatially and temporally detailed network structure and and ongoing dynamical processes. Special focus will be put on language evolution with the aim to design computational sociolinguistic approaches to study synchronic variations, diachronic change in correlation with social network structure. This data-driven program will strongly rely on a large corpus of Twitter dataset enriched with precise information about the underlying social network. The candidate will investigate how the information dissemination and linguistic variation is coupled with the topology and the socio-demographic features of the social structure. The candidate will develop computational methods at the crossing of computational social science, sociolinguistics, machine learning and network science. During the training the candidate will closely collaborate with sociolinguists from the ICAR laboratory (ENS Lyon), Lalic Team (University Paris-Sorbonne, INRIA), and LIDILEM laboratory (Université Grenoble Alpes). The candidate will benefit form a rich and dynamic environment, working at the intersection of a computer science, network science, computational linguistic and computational social science.

    How to Apply:

    Candidates should send their detailed - CV (with publication records) - Motivation letter - Transcripts of grades from the last two years (in case of PhD applications only) - 2 recommendation letters to eric.fleury@inria.fr, marton.karsai@inria.fr, and laetitia.lecot@inria.fr

    Location: Lyon (Ecole Normale Supérieure de Lyon, Inria), France
    Listed by:
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  • 8: List Date: 2016-07-01
    Position Title: PhD Scholarships
    Research Area(s): Genome scale metabolic modeling and Network medicine
    Organization: Digital Life project “INBioPharm - Integrated Novel Natural Product Discovery and Production Platform” The aim of the project is to provide a new, integrated platform for the more efficient discovery and production of novel bioactive compounds with high medical application potential from natural microbial biodiversity, promoting accelerated innovation in the biopharmaceutical market. The candidate will be part of an interdisciplinary research team with broad international experience and will play a central role in the systems biology data analysis and computational modeling of Streptomyces superhost strains. Focus will be on complex network analysis and constraint-based optimization of metabolism, such as Flux Balance Analysis (FBA), to identify strategies for strain engineering. K.G. Jebsen Center for Genetic Epidemiology The aim of the K.G. Jebsen Center for Genetic Epidemiology is to better understand human health and disease by studying genomic variation in populations. The center will primarily work on the translational axis between population-based and laboratory-based research. The candidate will be part of an interdisciplinary research team with broad international experience. The candidate’s research focus will be the computational modeling of the relationship between genome and disease states in the HUNT sample population, using both tools from complex network analysis and constraint-based optimization of metabolism.
    URL: https://www.jobbnorge.no/en/available-jobs/job/126990/2-phd-positions-in-systems-and-network-biology
    Description:

    Two PhD positions are available at the Department of Biotechnology. One position is financed by the Research Council of Norway through the Biotek2021 Digital Life program, the other is financed by the K.G. Jebsen Center for Genetic Epidemiology. The appointments has a duration of 3 years with a possible one year extension with 25 % teaching duties in agreement with the Department (to undertake the teaching duties it is a requirement that the candidate speaks Norwegian or another Scandinavian language).

    How to Apply:

    Only applications submitted via the jobbnorge.no interface will be considered: https://www.jobbnorge.no/en/available-jobs/job/126990/2-phd-positions-in-systems-and-network-biology Application deadline: August 1, 2016

    Location: NTNU - Norwegian Univ. of Science & Technology, Trondheim, Norway
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  • 9: List Date: 2016-06-21
    Position Title: Tenure Track Faculty
    Research Area(s): Economics, Management and Data Science; Computer Science and Systems Engineering; Neurosciences; Cultural Heritage
    Organization: IMT School for Advanced Studies Lucca
    URL: http://www.imtlucca.it/school/job-opportunities/academic/international-scouting.
    Description:

    The IMT School for Advanced Studies Lucca (www.imtlucca.it), one of the five Schools of Excellence in Italy, is collecting expressions of interest for Tenure-Track faculty positions from exceptional candidates of all ranks in: Economics, Management and Data Science. Applications are encouraged from candidates with experience in economics, statistics and management science, with distinctive capabilities in analyzing complex problems in economics and management. Distinctive competences of interest are in economics, political economy, econometrics, management science and analytics, applied mathematics, statistics, network theory. Specific fields of study are economics and finance; international economics; economic networks; systemic risk analysis; political economy; industrial organization, entrepreneurship and technology; marketing science; systems modelling and optimization; stochastic systems. The School is also accepting expression of interest from candidates in Computer Science and Systems Engineering, Neurosciences and Cultural Heritage, and any other areas aligned with the mission of the School. The IMT School is a public graduate school and research institute that focuses on the analysis of economic, social, biological and technological systems. The School has been under the direction of Prof. Pietro Pietrini since November of 2015. Since the IMT School’s institution by ministerial decree of November 18th 2005, the School has distinguished itself thanks to the quality and innovativeness of its research and doctoral program and its interdisciplinary nature, characterized by the complementarity and discourse between methodologies drawn from economics, engineering, computer science, neuroscience and behavioral psychology, physics, applied mathematics, statistics, history and sciences of cultural heritage. The fusion between art and technology is also reflected in the School state-of-the-art campus, located principally in the newly restored San Francesco Complex. The entire campus is found within the historic city center of Lucca, which is completely surrounded by a fully-intact Renaissance-era walls. The campus includes spaces for research and laboratories, courses, and living and recreation. The campus is completed by the IMT Library, which offers a plethora of resources and offers additional working and research areas for the IMT community, and the city of Lucca in general.

    How to Apply:

    The deadline for submitting expressions of interest is July 13th, 2016 at 11.59 p.m. The link to both the full description of the profiles and the online application form is: http://www.imtlucca.it/school/job-opportunities/academic/international-scouting.

    Location: Lucca, Italy
    Listed by:
    Email:



  • 10: List Date: 2016-06-14
    Position Title: Postdoctoral Scholar
    Research Area(s): Russian Twitter Bots
    Organization: Technical University of Denmark
    URL: https://sunelehmann.com/2016/06/12/postdoc-jobs/
    Description:

    Russian Twitter Bots. This is the data-science component of a larger project, directed by political scientist, Prof Rebecca Adler-Nissen. The successful candidate will be associated with SODAS and work at closely with my group as well as political scientists exploring various qualitative aspects. The full project title is Digital Disinformation: Exploring the Influence of Pro-Kremlin Disinformation on Western Public Debate. This is extra fun because I actually have some practical experience building twitter bots.

    How to Apply:

    Send an email to Sune Lehmann with a coverletter and CV.

    Location: Copenhagen, Denmark
    Listed by:
    Email:



  • 11: List Date: 2016-06-14
    Position Title: Postdoctoral Scholar
    Research Area(s): Network Analysis of Case Law
    Organization: Technical University of Denmark
    URL: https://sunelehmann.com/2016/06/12/postdoc-jobs/
    Description:

    Network Analysis of case law from international courts. This one is in collaboration with Henrik Palmer Olsen at the faculty of law, and the successful candidate will be formally associated with both the faculty of law and my research group. Read more below: Postdoctoral position at iCourts in Network Analysis of case law from international courts The Faculty of Law (Faculty), University of Copenhagen, is seeking applications for a 2-year inter-disciplinary postdoctoral position in Network Analysis of case law within the research area of one of the Faculty’s research centres - iCourts, The Center of excellence for international Courts. The position is available from 1st November 2016. Start date is negotiable. About iCourts iCourts is a Center of Excellence funded by the Danish National Research Foundation. iCourts is truly international, currently employing some 30 researchers from five continents. The center is an interdisciplinary workplace with researchers specialized in law, philosophy, humanities and sociology. Research at iCourts focuses on the ever growing role of international courts, their place in a globalizing legal order and their impact on politics and society at large. In addition, the center hosts an annual PhD summer school as well as an ongoing PhD training program. iCourts is an international research center with targeted partners in the United States, Africa, Europe and Asia. Read more about iCourts here. The postdoc project: The postdoctoral position is available within a 5-year research project, called ‘From Dogma to Data’, sponsored by the Danish Research Council, and led by Prof. Henrik Palmer Olsen, iCourts, Faculty of Law, Copenhagen University in collaboration with Assoc. Prof. Anders Søgaard, Department of Computer Science (DCS), Copenhagen University, and Ass. Prof. Sune Lehmann, Department of Applied Mathematics and Computer Science DTU Compute, Technical University Denmark. The project seeks to empirically uncover structures in law and legal language and to test them against established perceptions of legal doctrine in 3 international courts: The European Court of Human Rights, The Court of Justice of the European Union and the Appellate Body of the World Trade Organisation. The successful candidate will be associated to both iCourts, DCS and DTU Compute and will collaborate with researchers from all three research institutions. Job content The ‘From Dogma to Data’ project is about studying the dynamics of case law from international courts on a large scale. The postdoctoral student will cooperate with legal researchers and with computer and natural language researchers in order to apply network analysis to networks of citations to case-law in order to determine and predict the importance of cases and the development of legal concepts and norms across time. Qualification requirements The position requires a PhD degree or similar qualifications. The applicant should have considerable and documented programming experience with emphasis on network algorithms and in any major development environment, e.g. Python, C/C++, Java, R or similar. Applicants should, furthermore, display a strong background in social network analysis. Emphasis will be put on candidates with background in community detection techniques (modularity-based, map equation, etc.), graph importance metrics (Betweeness metrics, HITS, etc.) and the ability to apply and interpret them. Experience with network visualization, e.g. with d3.js, sigma.js, is considered a plus but not a strict requirement Experience with working in an interdisciplinary environment, especially in social sciences and law is considered a valuable asset. Applicants that can document experience in several fields are preferred. We also encourage applicants to document any experience in working with the legal field. The postdoctoral researcher is expected to publish at the top international conferences or in the best journals in the field, and previous publications in these venues will be emphasized when evaluating applications. For further information about the position, please contact Prof. Henrik Palmer Olsen (hpo@jur.ku.dk)

    How to Apply:

    Send an email with a cover letter and CV to Sune Lehmann.

    Location: Copenhagen, Denmark
    Listed by:
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  • 12: List Date: 2016-06-10
    Position Title: PhD Scholarships
    Research Area(s): Economics, Management Science and Data Science
    Organization: IMT School for Advanced Studies Lucca
    URL: http://www.imtlucca.it/phd
    Description:

    Applications are now being accepted for scholarships for the Economics, Management Science and Data Science (EMDS) curriculum within the 2016/17 PhD program at the IMT School for Advanced Studies Lucca (www.imtlucca.it), one of the five Schools of Excellence in Italy. Perspective students should preferably have a master-level background in economics, management science, physics, mathematics, statistics, computer science, engineering or in a related field. Under the Direction of Prof. Massimo Riccaboni, this curriculum provides participants with a solid knowledge base in analytical methods in economics and management science. With its multidisciplinary approach, the curriculum is unique in its deployment of a strong integration of concepts, analytical foundations, and practical expertise, to educate a new professional élite with distinctive capabilities in analyzing, visualizing, interpreting, and managing complex problems in economics and management. Graduates are trained as future leaders in policy and industry. Students are involved in the analysis of real world big/high dimensional data, in collaboration with companies and institutions. The curriculum relies on distinctive competences at IMT in economics, political economy, management science and analytics, computer science, applied mathematics, statistics, network theory, and system engineering/operation research. Specific fields of study are economic networks and network industries; healthcare and pharmaceuticals; systemic risk analysis; economics and finance; political economy; organization, entrepreneurship, and technology; strategy; marketing science; critical infrastructures; systems modeling and optimization; stochastic systems; production and operations. Close associations with a selected set of companies and institutions provide the opportunity to analyze relevant problems, motivating new analytical techniques from practical problem solving. Courses are led by world-renowned researchers and provide students with all the theoretical skills and advanced tools required for rigorously tackling a multitude of analysis, design and management problems within the broad framework of systems analysis in economic, social, scientific, technological and cultural domains. Specialized faculty and staff create a network that provides key guidance and support throughout the PhD Program. Working closely with faculty, both in the classroom and in the development of research, students reach the highest levels of scholarly achievement.  IMT School PhD graduates will be able to use the skills they acquired during their studies to recognize and resolve complex problems, to choose the most appropriate method or instrument to utilize when approaching these problems, even in disciplines outside of their primary field of research. All students are based in the recently restored San Francesco complex, a fully integrated Campus in the historical center of the beautiful Tuscan city of Lucca. The Campus includes renewed residential facilities, an on-site canteen, study and living rooms, a state-of-the-art library and outdoor recreational spaces, which foster a unique cultural, professional and social environment for our doctoral program. Admitted students, in addition to free room and board, will also receive a research scholarship which amounts to approximately €13,600/year. Additional funding for research stages also will be provided. The PhD program at the IMT School attracts students from around the world, providing a truly international environment. English is the official language of the School. Moreover, all students will have the opportunity to spend periods abroad at research institutes, laboratories or universities, both within the Erasmus+ framework and through ad hoc mobility agreements. Most IMT School PhD Graduates have reached prominent roles in academics, governmental institutions, public and private companies or professions across the globe. Find the IMT School on Facebook, Twitter, LinkedIn and YouTube for the latest news.

    How to Apply:

    To find out more about the School, the admission requirements and how to apply, please see www.imtlucca.it/phd

    Location: Lucca, Italy
    Listed by:
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  • 13: List Date: 2016-06-08
    Position Title: Data Scientist Fellow
    Research Area(s):
    Organization:
    URL:
    Description:

    The Center for International Development (CID) at Harvard University works to advance the understanding of development challenges and offer viable solutions to problems of global poverty. CID, consecutively named one of the top five global think tanks in international development, is recognized as a global leader in research to advance economic growth, social progress and governance reform in the developing world. While other groups in economic development work on a priori models and development reports, CID believes in the power of data and of complexity science. This leads to a number of challenging tasks and a thirst for innovative solutions. CID has been endowed by several technology partners, including a company facilitating payments around the world and a global telecommunications company, which provide exclusive access to their unique and vast datasets to create public goods and insights. CID is growing fast and we are looking for creative, self-directed Data Scientists who want to join a small data science team and have a massive impact on improving the lives of the bottom half of the world. We'd like to get to know you if... *You enjoy in-depth research and finding answers to complicated questions about network science *You are fascinated by algorithms, data and complex network analysis *You communicate ideas with clarity and precision *You have a machine learning background *You have a network analysis background *You have networks science experience (networkx, igraph, or similar) *You know Python (numpy/scipy, pandas, etc.) *You like occasional free food, 100 feet of snow in winter, and funny t-shirts We would love it if you also... *Enjoy torturing data until it starts speaking knowledge *Can write fast, ugly code that gets the job done and then improve it *Have web crawling abilities *Are not scared of dealing with hundreds of gigabytes of data *Have knowledge of various data mining tools and D3 What you'll do... *Research complex networks *Be part of a multidisciplinary team, finding CS solutions that aid economics research, and write about this *Perform research to be published in CS conferences Some things we're working on: The Global Knowledge Exchange Space. We're observing knowledge exchange travels across the globe, trying to crack the enigma of why some countries are so central in knowledge space. The Skill Unreachability Problem. Productive areas are concentrated in parts of the city that are time- and money- expensive to reach, so far away poor people cannot work in the places that can pay for their skills. We are fixing this, with a 250 GB dataset from Telefonica that allows us to calculate commute trips across Colombia. The Structure and Function of Governments. We are crawling the web looking for all traces of activities of U.S. states governments, answering the questions of what are governments actually doing and what do they provide to society.

    How to Apply:

    Get in Touch: We work in Cambridge, Massachusetts. We'd love to hear from you! Email us at CID@hks.harvard.edu with reasons as to why you'd make a great fit.

    Location: Center for International Development at Harvard University
    Listed by:
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  • 14: List Date: 2016-06-06
    Position Title: Postdoctoral Scholar
    Research Area(s): Interdisciplinary Research on the Effects of Shocks on Interacting Political and Social Networks
    Organization:
    URL:
    Description:

    We are looking to recruit a post-doctoral scholar for an inter-disciplinary research project on the effects of shocks on interacting social and political networks. This is a one-year position, with a possibility for renewal on a yearly basis. We are seeking candidates from various social, physical, mathematical, and/or informational sciences. The following qualifications are mandatory for this position: a. Ph.D. in hand at the start of the position. b. Knowledge of and experience in network analysis. c. Knowledge of and experience with agent-based modeling. d. Strong statistical data analysis and data management skills. The following skills and experiences would be considered as strong advantages: a. Programming experience (Python, Java, C++, C#, R) b. Demonstrated research on social and political processes within and among nations. c. Demonstrated research on social, physical, or communication networks. d. Experience managing research assistants and research teams. This is a full-time position with an annual salary of $50,000 and UC Davis fringe benefits. UC Davis is an equal opportunity, affirmative action employer. Deadline for the application is June 15, 2016. The start date of the position is August 1, 2016. However, a slightly later date can be arranged.

    How to Apply:

    Candidates should electronically submit a cover letter, curriculum vitae, three letters of reference, and a writing sample (article, dissertation chapters, etc.) to: https://recruit.ucdavis.edu/apply/JPF01051. For more information, please contact Zeev Maoz at zmaoz@ucdavis.edu.

    Location: University of California Davis
    Listed by:
    Email:



  • 15: List Date: 2016-06-06
    Position Title: Postdoctoral Scholar
    Research Area(s): Complex Networks, Non-linear Dynamics, and Control
    Organization:
    URL: http://mae.engr.ucdavis.edu/dsouza/.
    Description:

    Postdoctoral scholar in complex networks, non-linear dynamics and control to begin in late Fall 2016. This 2-3 year position is on the team of Prof. Raissa D'Souza, http://mae.engr.ucdavis.edu/dsouza/.

    How to Apply:

    To apply please submit a cover letter and curriculum vitae to raissa@cse.ucdavis.edu with subject line "Postdoc application".

    Location: University of California Davis
    Listed by:
    Email:



  • 16: List Date: 2016-05-26
    Position Title: Postdoctoral Research Assistant
    Research Area(s): Bioinformatics
    Organization: Centre for Personalised Medicine, Linkoping University
    URL:
    Description:

    The overall aim of the Centre for Personalised Medicine (CePMed) is clinical implementation of personalised medicine, based on combining omics, computational, functional and clinical studies (Bruhn et al. Science Translational Med 2014, Gustafsson et al. Science Translational Medicine 2015). We focus on T cells because they are involved in multiple diseases and are readily obtained from peripheral blood, and optimal for functional studies. Tasks: Bioinformatics analyses of T cells, public data and electronic medical records, in close collaboration with other bioinformaticians, experimental and clinical researchers. The position is a scholarship for two years with a monthly compensation of 3200 euro (tax free). Health insurance is covered by the university. Start as soon as possible. Career prospects: A career plan is made in collaboration with each CePMed member. Close collaborations between group members is encouraged and results in publication records. This has resulted in national and international grants, as well as faculty positions for young researchers. Previous experiences: PhD in bioinformatics, ideally based on network- or omics related research.

    How to Apply:

    Location: Sweden
    Listed by: Professor Mikael Benson
    Email: Professor Mikael Benson



  • 17: List Date: 2016-03-14
    Position Title: NIH Postdoctoral Fellowship
    Research Area(s):
    Organization: The Channing Division of Network Medicine (CDNM) at Brigham and Women’s Hospital and Harvard Medical School is looking for exceptional candidates to fill an NIH T32 postdoctoral fellowship position in Network Medicine, a rapidly developing field that applies systems biology and network science to human diseases
    URL: http://scholar.harvard.edu/yyl/position
    Description:

    The research will be done under the mentorship of Prof. Yang-Yu Liu, with opportunities for collaboration with other faculty at CDNM who have expertise in statistics, bioinformatics, epidemiology, genetic epidemiology, and genomics of complex human diseases. CDNM is the home of the ongoing Nurses’ Health Study and multiple respiratory disease studies. From these cohorts, CDNM has DNA samples from more than 200,000 individuals. CDNM also has extensive computer resources.

    How to Apply:

    Eligibility: NIH requires the postdoctoral fellow to be a US Citizen or green-card holder. The fellow is also expected to have a strong background in one or more of the following fields: bioinformatics, biostatistics, machine learning, computational biology, statistical physics and network science. Excellent organizational and interpersonal skills, along with a stated interest in network medicine research, are essential. Computer programming and analytic experience with large datasets is a plus. Application: Please send your application consisting of Cover Letter, Curriculum Vitae and Research Statement (as one single PDF file) to yyl@channing.harvard.edu, by May 11, 2016; and arrange three recommendation letters sent directly from the letter writers to yyl@channing.harvard.edu by May 11, 2016. 

    Location: Boston, MA
    Listed by: Yang-Yu Liu
    Email: Yang-Yu Liu



  • 18: List Date: 2015-12-14
    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/39012
    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:

    All interested candidates should submit a formal application consisting of (i) a current CV with publication lists, (ii) a brief statement of research experience and interests, and (iii) two letters of recommendation sent separately by the writers to: James Stanfill at ccnrpostdoc@gmail.com or at Northeastern University, Center for Complex Network Research, 1100-177 Huntington Ave, Boston, MA 02115. https://neu.peopleadmin.com/postings/39012 Northeastern Jobs Internal Number: STFR001078

    Location: Boston, Massachusetts
    Listed by:
    Email:



  • 19: List Date: 2015-12-11
    Position Title: 2 Postdoctoral Positions Open
    Research Area(s): mathematical and theoretical aspects of random (geometric) graphs and networks and all aspects of network science
    Organization: DK-Lab is a part of the Network Science Institute and the Physics Department at Northeastern University.
    URL: http://www.northeastern.edu/dima/
    Description:

    The DK-Lab, led by Prof. Dmitri Krioukov, has openings for two postdoctoral research associates. The first narrow search is on mathematical and theoretical aspects of random (geometric) graphs and networks. The ideal candidate will have outstanding background in mathematics (in areas such as probability, graph theory, geometry, topology) and/or theoretical physics, solid programming skills, as well as convincing previous research record in random graphs or network science. Experience or willingness to work with real-world network data is a plus. Recent Ph.D. in applied mathematics or theoretical physics is required. The second broad search is on all aspects of network science. The successful candidate will have a combination of strong skills in one or more of the following: network theory, algorithms, computations, modeling and mining big data. S/he will perform interdisciplinary research at the intersection of statistical physics, network science, and data mining. Recent Ph.D. in mathematics, physics, computer science, engineering, or equivalent is required. Responsibilities of both candidates will also include standard tasks such as writing scientific papers, assisting in preparing research proposals, mentoring junior lab members, etc.

    How to Apply:

    Formal applications to the math/theory search should be submitted here: https://neu.peopleadmin.com/postings/38355 Formal applications to the general search should be submitted here: https://neu.peopleadmin.com/postings/38242 Application materials for both searches include: *cover letter *CV with the list of publications *short descriptions of research experience and interests *names and email addresses of at least two references

    Location: Boston, MA
    Listed by: Dmitri Krioukov
    Email: Dmitri Krioukov



  • 20: List Date: 2015-12-04
    Position Title: Assistant or Associate Professor of Data Sciences
    Research Area(s): scalable data analytics, predictive/causal modeling, information integration, longitudinal data analysis, network modelin/analysis
    Organization: Pennsylvania State University, College of Information Sciences and Technology (IST)
    URL: https://psu.jobs/job/60541
    Description:

    IST offers a highly collaborative interdisciplinary research environment, strong research programs in Artificial Intelligence and Cognitive Systems, Data Sciences, Informatics, Human Centered Design, Information Security and Privacy, and Socio-Technical Systems, a strong Ph.D. program (with over 100 Ph.D. students), and several highly successful undergraduate programs. IST faculty and students enjoy extensive opportunities for interdisciplinary collaborations with colleagues from a wide range of disciplines as well as a number of university-wide cross-cutting centers and institutes, e.g., The Center for Big Data Analytics and Discovery Informatics, the Institute for Cyberscience, The Huck Institutes of the Life Sciences, the Social Science Research Institute). Additional collaborative opportunities are afforded by the NIH-funded Clinical and Translational Sciences Institute, several NSF and NIH-funded Interdisciplinary Graduate Training Programs. The Pennsylvania State University is the land grant institution of Pennsylvania. In the 2013 institutional rankings of total research expenditures in science and engineering released by the National Science Foundation, the university, placed 17th overall nationally, and was tied with the Massachusetts Institute of Technology, for the 2nd position, with respect to the number of disciplines in which it is ranked among the top ten. The successful candidate must have a Ph.D. in Information Sciences and Technology or a related field by the time the appointment begins. The College of Information Sciences and Technology (IST) at The Pennsylvania State University invites applications for a tenure-track faculty position at the rank of Assistant or Associate Professor as part of a University-wide faculty hiring initiative with the Institute for CyberScience (ICS) in the Data Sciences. This year’s search focuses on Data Science for Precision Health (broadly conceived). We are especially interested in candidates with expertise in scalable data analytics, predictive and causal modeling, information integration, longitudinal data analysis, network modeling and analysis, whose research interests complement ongoing health-related research within the College. Successful candidates will have a demonstrated track record of research contributions in both novel methods and precision health applications that complement the current research strengths within the college in Informatics, Machine Learning, Data Mining, Network Science, Information Retrieval, Data Privacy and Security, and across the university in Bioinformatics, Translational Genomics, Brain Imaging, Electronic Health Records Analytics, Biobehavioral Health, Prevention Research, and Healthy Aging. We welcome applications from candidates with a variety of disciplinary backgrounds including Computer and Information Sciences, Statistics, Biomedical and Health Informatics. Successful candidates will be expected to develop a strong externally funded research program and contribute to graduate and undergraduate education and training in the Data Sciences.

    How to Apply:

    Interested applicants should submit: (1) a cover letter, (2) a Curriculum Vitae, (3) a one-page research statement, (4) a one-page teaching statement, and (5) 3 – 5 letters of reference. Review of applications will begin on January 5, 2016, and continue until the position is filled. Inquires about the position may be directed to recruit@ist.psu.edu.

    Location: University Park, State College, PA
    Listed by: Dashun Wang
    Email: Dashun Wang



  • 21: List Date: 2015-10-01
    Position Title: Faculty Positions at all academic ranks in Theory and the Biological Sciences
    Research Area(s): Biological Physics
    Organization: City University of New York
    URL: cuny.jobs, enter Job ID 13244 under �What�
    Description:

    iology Program and Initiative for the Theoretical Sciences. The Graduate Center, City University of New York http://gc.cuny.edu/biology and http://www.gc.cuny.edu/its The Graduate Center of the City University of New York has launched an Initiative for the Theoretical Sciences (ITS), with the goal of building a multidisciplinary community of faculty, postdoctoral fellows, students, and visitors, all united by their interest in the mathematical description of nature. In the current academic year, we are searching for faculty members whose research interests are focused on the phenomena of life, but whose methods and style are grounded in the traditions of theoretical physics and applied mathematics. Applications will be considered across the full range of biological topics, from the dynamics of single molecules to the behavior of animal groups; we are especially interested in candidates whose interests transcend historical boundaries among the subfields of biology. Appointments will be made through the PhD program in Biology, with affiliations to other doctoral Programs possible (e.g. Physics, Mathematics, Computer Science), as appropriate. Positions are available at all academic ranks, although it is the preference of the Graduate Center to make appointments with tenure (Associate Professor and above). Applicants are expected to demonstrate an outstanding record of independent research accomplishment and creativity, as well as an interest in mentoring and community building. In particular, faculty recruited in this search will play a crucial role in the further development of ITS, across the full range of intellectual opportunities for theory in the natural sciences.

    How to Apply:

    Applicants should submit CV, a research statement, and three references to Prof. Laurel A. Eckhardt, Search Chair, through the City University Employment online portal (cuny.jobs), entering the Job ID �13244� under �What.�

    Location: New York City
    Listed by: Hernan Makse
    Email: Hernan Makse



  • 22: List Date: 2015-09-21
    Position Title: Tenure-Track Faculty Position in Biophysics
    Research Area(s): Data Science, Biological Physics
    Organization:
    URL: https://www.rochester.edu/faculty-recruiting/positions/show/2282
    Description:

    The Department of Physics and Astronomy at the University of Rochester invites applications for a tenure-track faculty position in Biological Physics. Applicants in both theoretical and experimental areas will be considered. Applicants should have a Ph.D., an outstanding record of research, and a commitment to excellence in teaching at both the undergraduate and the graduate level. The position is anticipated to be at the Assistant Professor level, however applicants at a more senior level will also be considered. We are especially interested in candidates whose research interests might leverage the University's recent strategic initiative in Interdisciplinary Data Science. However strong applications in any area of biological physics are encouraged.

    How to Apply:

    Each candidate should submit a letter of application, a curriculum vita including a list of publications, and a description of research and teaching plans. The candidate should arrange for four letters of recommendation to be sent in support of their application. To receive the fullest consideration, applicants are encouraged to apply by November 15. Review of applications will continue until the position is filled. All applications are considered without regard to race, sex, religious or national origin. Salary will be competitive.

    Location: University of Rochester
    Listed by:
    Email:



  • 23: List Date: 2015-09-09
    Position Title: Ph.D. Student Positions in Complex Systems and Smart Grid
    Research Area(s): Ph.D. Student Positions in Complex Systems and Smart Grid
    Organization: The Integrative Graduate Education and Training (IGERT) program is the National Science Foundation’s flagship interdisciplinary training program, educating U.S. Ph.D. scientists and engineers by building on the foundations of their disciplinary knowledge with interdisciplinary training. The IGERT program spans science, technology, engineering, mathematics and social sciences.
    URL: http://www.uvm.edu/smartgrid/the-program/apply-igert/
    Description:

    The NSF IGERT program at the University of Vermont has funded positions available for Ph.D. students interested in studying aspects of smart grid from a complex systems perspective. We are a highly multi-disciplinary program interested in students with diverse backgrounds, including (but not limited to) electrical, mechanical, and civil engineering, mathematics, computer science, natural resources, public policy, and psychology. Students must be U.S. citizens or permanent residents who are prepared to begin studies at the PhD level. Potential students from any field with an interest in energy and complex systems are encouraged apply by following the application link on our web page

    How to Apply:

    Students interested in being considered for the Smart Grid IGERT program should download and complete the Application Form below. Students should also apply to a UVM PhD program and the Certificate of Graduate Study in Complex Systems, using the Graduate Application Form from the Graduate College. Please indicate on the Statement of Purpose in the Graduate Application Form that you are also applying to the IGERT program. Applications to the IGERT program are accepted and reviewed on a rolling basis.

    Location: The University of Vermont
    Listed by:
    Email:



  • 24: 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
    Listed by:
    Email:



  • 25: 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
    Listed by:
    Email:



  • 26: 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
    Listed by:
    Email:



  • 27: 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
    Listed by:
    Email:



  • 28: 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
    Listed by:
    Email:



  • 29: 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
    Listed by:
    Email:



  • 30: 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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