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  • 1: 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



  • 2: 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



  • 3: 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:



  • 4: 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



  • 5: 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



  • 6: 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



  • 7: 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:



  • 8: 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:



  • 9: 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:



  • 10: 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:



  • 11: 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:



  • 12: 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:



  • 13: 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:



  • 14: 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:



  • 15: 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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