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This page collects all news items (relevant talks, conferences, initiatives and job offers) advertised to CNN members via our regular newsletter. To receive our newsletter by email simply join our mailing list via the following website.

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Post-doctoral position in the Barabasi lab

last modified Jan 15, 2019 04:03 PM

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, science of science, science of success, and network medicine. We are seeking motivated individuals with experience in network science and interest in applying it toward both social and biological systems. The ideal candidate has a physics, economics, computational sociology, computer science, bioinformatics, or mathematics PhD, and previous work experience in networks, science of success, or network biology/bioinformatics.

For a range of projects characterizing the lab, see Our current work spans the applications of networks toward quantifying success in scientific careers to understanding the fundamentals of network dynamics.

For more information, see:

Post-doctoral position in Machine Learning and Network Science, ISI

last modified Jan 15, 2019 04:01 PM

The ISI Foundation  is looking for an exceptional candidate to fill an open postdoctoral position in Machine Learning and Network Science with a particular focus on renormalization and dimensionality reduction of complex networks.

For more details, see:

Deadline: 20th January 2019

Post-doctoral fellowship at CDC, Atlanta

last modified Jan 15, 2019 04:00 PM

We have advertised a post-doctoral fellowship opportunity at the Centers for Disease Control and Prevention (CDC), Atlanta, for a recent graduate with skills in social network analysis and mathematical modeling of infectious disease transmission.

The opportunity details can be found at

Post-doctoral Fellowship in Penn State's Center for Social Data Analytics

last modified Jan 15, 2019 04:00 PM

The newly-established Center for Social Data Analytics (C-SoDA) at Penn State is hiring a postdoc. Full ad below. Please feel free to contact me or Director Burt Monroe ( if you have any questions.

The Center for Social Data Analytics (C-SoDA) at The Pennsylvania State University invites applications for a two-year Postdoctoral Fellow with a specialty in data and/or computationally intensive social research to start in Fall 2019. Methodological areas of specialization relevant to the position include, but are not limited to, text analysis, computational statistics, and machine learning. The Director of the Center for Social Data Analytics, Professor Burt Monroe, will supervise the Fellow. The Fellow`s time allocation will be 40% individual/own research, 40% research on projects led by C-SoDA-affiliated faculty, and 20% service for C-SoDA. Service for C-SoDA will include, but not be limited to, managing graduate student researchers, assisting C-SoDA-affiliated researchers in using high performance computing resources on campus, and assisting with grant proposal preparation. PhD required or all requirements for the PhD must be completed by the appointment date. Penn State Fellows participate extensively in the intellectual life of the Center including opportunities to attend seminars and workshops, and present research results. Salary is competitive and additional money is available for travel and research. Submit cover letter explaining research and any administrative experience, a current CV, and samples of scholarly writing. Additionally, request three confidential letters of reference be sent directly to Application review will begin on January 15th, 2019 and continue until the position is filled.

Apply through PSU jobs:

Deadline: open until filled.

Post-doctoral position on urban mobility

last modified Jan 15, 2019 03:59 PM

We have a postdoc opening for a KTP project on "Data Science for smart bike sharing". The project is a collaboration between City, University of London and Beryl, an industry-leading organisation centred around urban cycling.

Through the analysis and modelling of new data on cycling behaviour, the Associate will help shape and run an ambitious programme aimed to better understand, and improve, mobility and cycling in urban areas.

The duration is 30 months and the salary is competitive. The deadline for application is January 20.

More info, and the application form, can be found here:

Research Fellow - University of Greenwich, London, UK

last modified Jan 15, 2019 03:58 PM

Institute of Political Economy, Governance, Finance and Accountability (PEGFA)

The University of Greenwich is recruiting 14, independent early career Research Fellows to partner existing research groups, who will develop their academic careers with us. Successful candidates will be appointed for a period of three years starting ideally no later than 1 April 2019. Subject to satisfying performance criteria and budgetary constraints, it is anticipated that these Fellows will transition into academic posts at the end of the Fellowship period. The 14 Fellowships will be distributed over the four Faculties of the University. Each Fellow will be embedded in an established research area, and partnered with an academic lead within a broad research discipline.

Full details can be found here:

Application deadline: 8 February 2019

MASAMB '30 years edition' - registration open

last modified Dec 16, 2018 03:34 PM

We are pleased to announce that registration has opened for the ‘30 years edition’ of the annual Workshop on Mathematical and Statistical Aspects of Molecular Biology (MASAMB) 2019.

Registration links and other information are available here:

Conference: MASAMB 2019
Dates/times: 11.00 Thursday 25th April - 15.00 Friday 26th April 2019
Place: European Bioinformatics Institute, Hinxton, UK
Accommodation: limited on-site accommodation will be assigned in order of registration

Future Internet 2018 Travel Awards

last modified Dec 16, 2018 03:32 PM

Future internet (Editor-in-Chief Prof. Dr. Dino Giuli) is inviting applications for a Travel Award for a PhD student to attend a conference in 2018. The award will consist of 800 Swiss Francs. Future Internet is a partner journal of COMPLEX NETWORKS 2018.

Please send your applications to or by 20 December 2017(extended deadline).

The winner will be announced in January 2018.

More information at:

Applied Machine Learning Days, January 26-29, 2019, Lausanne, Switzerland

last modified Dec 16, 2018 03:31 PM

We hope to see you at the Applied Machine Learning Days, taking place from January 26 to 29, 2019, on the EPFL campus in Lausanne, Switzerland. The 3rd edition of the event is again one of the largest machine learning & AI events in Europe, focused specifically on the applications of machine learning and AI, bringing together a large audience from industry and academia from diverse backgrounds.

Speakers this year include:
Garry Kasparov
Jeff Dean
Zeynep Tufekci
Sandy Pentland
Christopher Bishop
Evgeniy Gabrilovich
and many more.

For more information, see:

CBNA Winter School in Social Network Analysis

last modified Dec 16, 2018 03:30 PM

Monday 7 January - Friday 11 January 2019
The Centre for Business Network Analysis (CBNA) at the University of Greenwich, London, is hosting the 8th edition of its popular Winter School in Social Network Analysis.

All day Workshops: 10:00 - 18:00

    The Analysis of Organisational Networks - Prof. Bruce Cronin (Mon)
    Introduction to Statistical Analysis and Visualisation of Social Networks - Dr Guido Conaldi (Tue)
    Sampling of hard-to-reach Populations with SNA  - Dr Luis Rocha (Wed)
    Introduction to Exponential Random Graph Models with MPNet - Dr Francesca Pallotti (Wed)
    Longitudinal Social Network Analysis with R - Dr Guido Conaldi (Thu)
    Social Networks and the Organisation of Health Services - Dr Francesca Pallotti (Fri)
    Marketing Analytics with Social Media- Dr Zhen Zhu (Fri)

Morning Workshops: 09:00-13:00

    Doing Research with SNA: Tools, theories and applications - Prof. Bruce Cronin and Dr Matthew Smith (Mon - Wed)
    Contagion Processes - Dr Nicola Perra (Thu - Fri)

Further details:
Deadline- Sunday 16th December 2018

NetSci abstract submissions

last modified Dec 16, 2018 03:28 PM

A reminder that the abstract submission deadline for NetSci is January 10, 2019. There is also an open call for Network Science Art & Visualizations, where you are invited to submit a piece of artwork inspired by network science or a beautiful visualization of network data. We will print and display selected artworks to be judged by an expert panel of judges at the NetSci 2019 Conference. Winners will receive a very exciting prize which will be announced shortly. Deadline for submission of artworks: February 20, 2019.

More information:

NSF-NRT Interdisciplinary Training in Complex Networks and Systems at Indiana University

last modified Dec 16, 2018 03:27 PM

Interdisciplinary Training in Complex Networks and Systems-

Understanding complex networked systems is key to solving some of the most vexing problems confronting humankind, from discovering how dynamic brain connections give rise to thoughts and behaviors, to detecting and preventing the spread of misinformation or unhealthy behaviors across a population. Graduate training, however, typically occurs in one of two dimensions: experimental and observational methods in a specific area such as biology and sociology, or in general methodologies such as machine learning and data science.

With more and more students seeking to gain sufficient expertise in mathematical and computational methods on top of domain-specific laboratory and social analysis methodologies, a greater demand for more efficient interdisciplinary training is emerging. The Indiana University National Science Foundation Research Traineeship (NRT) addresses this growing need with an integrated dual PhD program that trains students to be "bidisciplinary" in Complex Networks and Systems (CNS) and another discipline of their choosing from the natural and social sciences. It will seamlessly integrate traditional education with interdisciplinary hands-on research in a culture of academic and human diversity.

NSF fellow must be US citizens residents. IU fellowships and NRT affiliates available for international students.

Applications Due January 1, 2019

For more information on how to apply please contact: For information about research and academic components, please see our website

PhD Scholarship in Network Science and Data Science

last modified Dec 16, 2018 03:26 PM

A fully-funded PhD scholarship is available under the supervision of Dr. Yilun Shang at Computer and Information Sciences Department of Northumbria University, Newcastle, UK, on 'Complex network analysis and resilience in large-scale multi-layer networks'.

The goal of this project is to investigate and develop new data science approaches to model large-scale networks. Recent advances in network science have enabled researchers to understand the resilience of large-scale topological systems and develop algorithms to improve their robustness in the presence of different classes of failures and perturbations. This project aims to further enhance the understanding of large-scale complex systems and create a platform to translate fundamental research into real-world impact.

Deadline for applications: Friday 25 January 2019

Start Date: 1 October 2019

Funding: The studentship is available to Students Worldwide, and covers full fees and a full stipend, paid for three years at RCUK rates (for 2018/19, this is £14,777 pa)

More details are available at

Indiana University postdoctoral fellowships

last modified Dec 16, 2018 03:25 PM

Four postdoctoral fellowship positions are available at Indiana University, Bloomington in social network analysis, computational social science, and sociology. Candidates may apply for multiple positions. See postings below:

Postdoc at Jacobs University, Bremen

last modified Dec 16, 2018 03:24 PM

Prof. Marc Hütt has an opening for a postdoctoral researcher at the interface of network science and formal logic. The aim of the project is to understand how certain scenarios of distributed computation (or self-organized dynamics in networks) systematically avoid or reduce logical paradoxes.

The topic has implications for computational neuroscience and organizational theory.

Please see the details at:


Post-doc opportunity at Harvard Med School

last modified Dec 16, 2018 03:23 PM

The Channing Division of Network Medicine at Brigham and Women’s Hospital and Harvard Medical School is seeking a postdoctoral fellow to work on interdisciplinary projects that involves developing approaches to construct and analyze networks with translational applications in biology and medicine. The successful applicant will work on developing quantitative approaches to integrate different types of Omics data (epigenetic, genetic, miRNA, RNA, etc) into gene regulatory networks, and on methods for analyzing and comparing networks for translational applications in medicine. The work will be primarily supervised by Dr. Kimberly Glass, but will also include interacting with a highly interdisciplinary team of researchers from both the Channing and elsewhere in the Longwood Medical Area.

For more information, see:

Cambridge Complex Networks conference- timetable now available

last modified Nov 02, 2018 11:00 AM

The 7th International Conference on Complex Networks and Their Applications
December 11-13, 2018, Cambridge, United Kingdom

The program for the Cambridge Complex Networks conference is now available online at:

Registration is expected to close soon.

Winter Workshop on Complex Systems 2019- deadline today!

last modified Nov 02, 2018 10:59 AM

The next Winter Workshop on Complex Systems will be held in Zakopane (Poland) from 4th to 8th February 2019. The event is tailored for PhD students and young scientists working in the broad area of complex systems. The aim of the workshop is to encourage new interdisciplinary collaborations. The call for participation in the 2019 edition is now open and the application deadline is 31st of October (now extended to 2nd November). All the details are available at:

The cost of the workshop is just 100 euros, which includes accommodation, food, transport from Cracow, social events and more. Participants will also have the chance to interact and hear lectures from exciting scientists, namely: Fabrizio Lillo, Chiara Poletto, Pere Colet and Piotr Fronczak.

NOTE: Deadline is today, 2nd November

The Cambridge Bioinformatics Hackathon 2018

last modified Nov 02, 2018 10:56 AM

Babraham Bioinformatics is organising a three-day life sciences-related hackathon at The Centre for Computing History in Cambridge on the 10-12th December 2018.  The hackathon is an excellent opportunity to improve your coding skills, network with people in your field, or to try out that project you've always wanted to work on but never found the time. Alternatively, you may want to work as part of a team in a field that is completely new to you.

More Information:

Call for Papers: Applied Network Science Special Issue on Machine Learning with Graphs

last modified Nov 02, 2018 10:55 AM

Data that are best represented as a graph such as social, biological, communication, or transportation networks, and energy grids are ubiquitous in our world today. As more of such structured and semi-structured data is becoming available, the machine learning methods that can leverage the signal in these data are becoming more valuable, and the importance of being able to effectively mine and learn from such data is growing.

These graphs are typically multi-relational, dynamic, and large-scale. Understanding the different techniques applicable to graph data, dealing with their heterogeneity and applications of methods for information integration and alignment, handling dynamic and changing graphs, and addressing each of these issues at scale are some of the challenges in developing machine learning methods for graph data that appear in a variety of applications.

In this special issue, we aim to publish articles that help us better understand the principles, limitations, and applications of current graph-based machine learning methods, and to inspire research on new algorithms, techniques, and domain analysis for machine learning with graphs.

Abstract submission: Dec 20, 2018