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Post-doctoral Research Associate in Computational Neurolmaging

last modified Jun 04, 2019 04:23 PM

The University of Newcastle (UON), Australia

The Systems Neuroscience Group (SNG) is located in a dedicated Imaging Facility at the Hunter Medical Research Institute. This facility contains a 3T PRISMA MRI as well as EEG, eye tracking, a functional near infra-red system, transcranial magnetic stimulation and other advanced auxiliary equipment. This multidisciplinary team undertakes fundamental research into the organization and activity of the networks the human brain. Through clinical collaborations, this work is employed to shed new light on major disorders of the brain. Led by Michael Breakspear, the SNG sits across the School of Psychology and the School of Medicine and Public Health at the University of Newcastle, and within the broader Brain and Mind Priority Research Centre

The successful applicant will work as part of a neuroimaging team, assisting in the design of innovative computational neuroimaging projects and the analysis of the ensuing behavioural and neuroimaging data using computational methods.

Closing Date: Monday 24th June 2019

For more information, see:

Barabasi talk on the Formula

last modified May 03, 2019 01:52 PM

The Institute of Applied Data Science at Queen Mary University of London presents:
'The Formula: Quantifying outcomes in individual careers, from science to art',
with Professor Albert-Laszlo Barabasi,
Institute of Network Science, Northeastern University and Division of Network Medicine, Harvard University

Attendance is free but you must register here:

Common wisdom goes something like this: Performance drives success, hence work hard and success will follow. But as we've all witnessed, that's not always the case. Here I aim to quantify success in science and arts by realizing that while your performance is about you, your success is about "us"—meaning that success is a collective and measurable quantity that captures how your peers observe and recognize your performance. This approach allows us to explore, using the tools of science, the emergence of impact, and quantify our ability to measure and predict success. I will discuss when will a scientist make her highest impact discovery, how to assign credit to collaborative work, and the role of professional and institutional networks in the emergence of impact and recognition in both science and art.

Albert-László Barabási holds appointments at the Network Science Institute at Northeastern University, Division of Network Medicine at Harvard Medical School and Department of Network and Data Sciences at Central European University. He is the author of the newly released The Formula – The Five Laws Behind Why People Succeed (2019), Linked (2002), and Bursts (2010) and the textbook Network Science (Cambridge, 2017), and co-edited Network Medicine (Harvard, 2015) His work lead to the discovery of scale-free networks and to the so-called 'Barabási-Albert model' explain the widespread emergence of the scale-free property in biological, technological and social systems.

The Formula will be published in the UK on 16 May 2019 by Macmillan and copies will be on sale at this event.

QMUL PhD Studentship

last modified May 03, 2019 01:51 PM

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2019 for students seeking funding, or at any point in the academic year for self-funded students. The deadline for funded applications is the 30th June 2019.

The student will work under the supervision of Dr. Vincenzo Nicosia, on an EPSRC-funded project.

Aims of the project
The project focuses on the exploration of long-time properties of random walks on graphs for the characterisation of heterogeneity in spatial systems. The main hypothesis is that the trajectories of random walks on graphs embedded in 2-dimensional and 3-dimensional Euclidean spaces preserve a lot of information about the presence and importance of spatial correlations in the system. The main aim is to provide new graph-based methods to quantify correlations and heterogeneity in large-scale spatial data sets, and to devise appropriate null-models for the normalisation of those measures and the comparison of heterogeneity across different systems. The project has both a mathematical and a data-oriented component. It will most probably require the ability to simulate simple dynamics processes on graphs, and will provide extensive opportunities to deal with real-world data sets.

The candidate
The ideal candidate is a UK/EU national with a Master-level degree in Mathematics, Physics, or Computer Science (with a strong maths component), and a strong interest in networks. Previous experience/knowledge in one or more of graph theory, network science, processes on graphs, discrete mathematics, combinatorics, matrix theory, dynamical systems, stochastic processes, random walks, time-series analysis, numerical simulations, is desirable but not essential.

The research group
The student will be part of the Complex Systems and Networks Research Group at Queen Mary University of London. The group consists of 8 academics, 3 PDRAs and about 12 PhD students conducting world-leading research in complex networks, complex systems, time series analysis, stochastic processes, statistical physics, nonlinear dynamics, mathematical modelling of biological systems, with applications to biology, ecology, neuroscience, urbanism, finance, engineering.

The School
The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study. We strongly encourage applications from women as they are underrepresented within the School.

Funding Notes
This project is eligible for full funding, including support for 3.5 years’ study, additional funds for conference and research visits and funding for relevant IT needs.

Conference on Complex Systems 2019

last modified Apr 23, 2019 03:56 PM

Nanyang Technological University, 30 Sept- 4 Oct 2019

The Conference on Complex Systems (CCS) is the biggest and most important annual meeting of the international complex systems community. It comes under the auspices of the Complex Systems Society. In 2019, CCS will come to Asia for the first time. Held in Singapore at Nanyang Technological University, it promises an intellectually stimulating experience to be matched by an equally exciting social programme. ​
​The calls for abstracts is open at

Deadline for abstract submission: April 30th, 2019

NetMed satellite at NetSci 2019

last modified Apr 23, 2019 03:52 PM

Hurry up and submit an abstract to NetMed19- "Getting connected: system's medicine and networks", a satellite symposium on May 28th at NetSci2019. Excellent speakers including Jukka-Pekka Onnela, Nitin Baliga and Reka Albert.

The focus of this symposium will be on personalized medicine and how big data approaches can help in this field, with topics including but not limited to systems medicine, disease networks and comorbidities, omics data integration and exploitation of electronic health records, cancer, complex diseases.

For more info and abstract submission, see:

Deadline: 10th May 2019

Cambridge Computational Biology Institute Annual Symposium

last modified Apr 23, 2019 03:51 PM

Date: Wednesday 15 May 2019
Location: Centre for Mathematical Sciences
Coffee from 8.30, tea breaks and lunch provided, drinks at ~17.30

We are pleased to announce registration is open for this year's Annual Symposium of the Cambridge Computational Biology Institute. This one-day event reflects the strength and diversity of research in computational biology, taken broadly, both within Cambridge University and beyond.

To register and for further information please visit:
The poster for the event is here:


last modified Apr 23, 2019 03:50 PM

2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2019)
5-8 October 2019, Washington, DC, USA

Tentative Program Highlights:
* 3 high profile keynote speakers that bridge statistics and computer science with other fields
* A Data Science for Social Impact day
* Research track and Applications track
* Late-breaking Poster session with lightening talks highlighting recent research advances
* Special sessions with papers published in the main conference IEEE proceedings for EI indexing through INSPEC by IEEE.
* Special sessions on statistics/mathematics for data science and advanced analytics, industry data science, and emerging areas, recent trends and controversies of data science and advanced analytics.
* Best papers selected for journal extension.
* A strong interdisciplinary research program spanning the areas of data science, machine learning, data mining,  and statistics, etc.
* Strong cross-domain culture and industry & government engagement.
* Industry and research exhibition opportunities.
* Both traditional and hands-on tutorials.
* Double blind, and 10 pages in IEEE 2-column format.
* The conference is jointly sponsored and supported by IEEE CIS, ACM SIGKDD and ASA.

Upcoming deadlines:
10 May 2019- Tutorial proposals submission
9 May 2019- Paper submission

DSAA'2019 website:
DSAA'2019 submission website:

CSS Scientific Awards 2019

last modified Apr 23, 2019 03:40 PM

The Complex Systems Society is proud to announce the 2019 edition of the CSS Scientific Awards. These awards are conferred once a year in two categories: the senior scientific award will recognize outstanding contributions of CSS members at whatever stage of their careers, whereas the junior scientific award is aimed at recognizing excellent scientific record of CSS young researchers (within 10 years of PhD completion). See  and

Deadline: 10 May 2019

Graphia: a new big network analysis platform

last modified Apr 23, 2019 03:39 PM

The biomedical sciences are awash with high dimensional data describing the activity or abundance of genes, proteins and biochemicals. Graphia has been designed to turn such data into correlation networks and to render the often millions of nodes and edges in 3D space, where data structure can be explored and integrated. Due to the size and diversity of networks, Graphia has been specifically designed for speed, scale and agility.

In the context of the biomedical sciences, application areas for correlation analysis include: transcriptomics (RNA-seq, single cell), proteomics, metabolomics, multi-parametric FACS, genome diversity etc., but also the visualisation and analysis of protein interaction data, phylogenetic trees or any relationship matrix. But equally data or networks can be derived from any source.

Graphia runs on all desktop environments and includes a range of built-in graph analytics, e.g. PageRank, MCL clustering, enrichment analysis etc. and a wide range of options for graph transformation, i.e. filtering of nodes and edges based on attribute information.  It also offers dynamic graph layout so any change to the graph structure is immediately reflected in the layout. You can also call up web pages directly from the node or link to a database of your choice. In terms of visualisation, then there is an advanced range of options to colour/size nodes and edges based on attribute data (imported or calculated within the tool).

Import of graph-based data is based on standard formats (.gml, .graphml) or more simple text-based formats (.txt, .csv).

Graphia is made produced by Kajeka, a University of Edinburgh spin-out company and is available for a 30-day free trial

12 PhD Positions for the 'CAFE: Climate Advanced Forecasting of sub-seasonal Extremes' project

last modified Apr 23, 2019 03:38 PM

We are happy to announce that we are offering 12 Marie Curie PhD Positions for the MSCA ITN 'CAFE: Climate Advanced Forecasting of sub-seasonal Extremes' project.

The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis.

If you have obtained or are about to obtain a master degree in physics, meteorology, mathematics, statistics, Earth sciences or similar topics (or if you know of a potential candidate who could be interested), and would like to make a significant contribution to the knowledge of climate, weather and related challenges, CAFE would like to hear from you. We look forward to applicants with excellent analytical skills, dedication and enthusiasm for interdisciplinary research combined with openness and curiosity, communication capabilities and willingness to contribute to an inspiring and collaborative community. The successful candidates will be hired for 36 months, with an attractive salary in accordance with the MSCA regulations for Early-Stage Researchers.

More information, including details of the projects and work locations, can be found here:

Application deadline: 17:00 on 20th May 2019 (Europe/Brussels)

Network Neuroscience Satellite at NetSci 2019

last modified Mar 18, 2019 12:35 PM

Hackathon website:

We are delighted to announce our Network Neuroscience satellite to be held on Tuesday 28th May as part of NetSci 2019, Burlington VT, USA. We invite your participation, and kindly ask you to spread this call as widely as possible.

We are inviting contributions for a number of poster and oral presentations. Please note that we have only a limited number of slots available for oral presentations, and encourage you to consider submitting your work as a poster. Submit your abstract (1 page pdf, no more than 500 words) by March 22nd; decisions will be communicated by April 5th.

We welcome submissions from all areas of Network Neuroscience, to include (but not limited to):
(i) Interactome networks;
(ii) Transcriptional and gene regulation networks;
(iii) Structural brain networks (imaging);
(iv) Functional brain networks (imaging);
(v) Brain networks - theory, modeling and analysis;
(vi) Signal processing and information flow;
(vii) Circuit dynamics;
(viii) Brain-behaviour interactions;
(ix) Systems neuroscience.

Please see our website for updates and further information. Note that one day rates are available if you are not attending the whole NetSci conference (early registration ends April 10th)

Uncovering and understanding the relationship between elements in complex networks has helped propel Network Science in various fields, including neuroscience. The brain is inherently multiscale and multivariate in nature, and understanding each part of the hierarchy and their interconnectedness is vital to understanding brain structure, function and cognition. Genes and proteins interact on the subcellular level. Subsequent populations of cells connect - and integrate within different brain regions - to support and propagate coordinated excitations of neural signals. As dynamic patterns emerge within network circuitry, these signalling patterns integrate to ultimately self-organise the whole organ - itself a cohabitant within the body - which seeks to interact with its external environment and social systems. Studying the brain at these various levels has led to the emergence of Network Neuroscience: a Network Science affiliated field within the brain-based scientific frontier.

Following the success of the event last year in Paris, we are again sponsoring a network neuroscience-related hackathon the weekend preceding the satellite.

Wellcome Trust Interdisciplinary Fellowship

last modified Mar 18, 2019 12:34 PM

The Ahnert group (Cavendish Laboratory & Sainsbury Laboratory) and the Schornack group (Sainsbury Laboratory) are inviting applications for a two-year postdoctoral position on a joint interdisciplinary project (Wellcome Junior Interdisciplinary Fellowship). This project combines mathematical and computational biology with wet-lab experiments (but no prior wet-lab experience is required). Deadline for applications: March 29th, 2019

Candidates will have a PhD in the physical sciences, mathematics, computing or engineering (or the life sciences, if they wish to expand their knowledge of the physical and mathematical sciences) and a strong track record appropriate for their career stage. Prior knowledge of biology is not required, but a willingness to work closely with biologists is essential.

Project outline
All host-colonising microbes utilise novel secreted proteins, termed effectors, to intercept host processes such as immune suppression, metabolic and developmental reprogramming. An understanding of effector functions and mechanisms is essential to understanding and targeting disease-causing microbes. However, small host-secreted effectors often represent novel protein folds and are under diversifying selection to evade the immune system of the host while maintaining their virulence activity.

This project aims to utilise a novel genotype-phenotype mapping approach whereby a small set of functionally tested proteins will be used to computationally identify and manipulate protein sequence regions of effector proteins which are defining their virulence activity.

The holder of the interdisciplinary fellowship would apply a combination of both biological approaches such as effector protein sequence engineering and host tissue expression followed by host colonisation studies, and theoretical or computational techniques including secondary structure prediction and the application of sampling algorithms for genotype-phenotype maps.

Application deadline
midnight, March 29th 2019

Application process
and contact Sebastian Ahnert ( and Sebastian Schornack ( to arrange for the supporting statement of the host department, and the formal approval of the host department (Please leave time for this before the application deadline!).

Talk on Representation Learning on Graphs

last modified Mar 18, 2019 12:33 PM

Jure Leskovec - Associate Professor of Computer Science at Stanford University, Chief Scientist at Pinterest, and investigator at Chan Zuckerberg Biohub
Wednesday 20 March 2019, 16:15-17:00
Lecture Theatre 2, Computer Laboratory, Cambridge University

Machine learning on graphs is an important and ubiquitous task with applications ranging from drug design to friendship recommendation in social networks. The primary challenge in this domain is finding a way to represent, or encode, graph structure so that it can be easily exploited by machine learning models. However, traditionally machine learning approaches relied on user-defined heuristics to extract features encoding structural information about a graph. In this talk I will discuss methods that automatically learn to encode graph structure into low-dimensional embeddings, using techniques based on deep learning and nonlinear dimensionality reduction. I will provide a conceptual review of key advancements in this area of representation learning on graphs, including random-walk based algorithms, and graph convolutional networks. We will discuss applications to web-scale recommender systems, healthcare and knowledge representation and reasoning.

MoN18: Eighteenth Mathematics of Networks

last modified Mar 18, 2019 12:31 PM

MoN18, the eighteenth Mathematics of Networks meeting will be held on 8th April 2019 at the Mathematical Institute, University of Oxford.  The theme for this meeting is "dynamics on networks and dynamics of networks". Talks can be submitted on any topic but those on theme will be given preference. Thanks to Andrew Mellor and Ebrahim Patel, our local organisers. The meeting webpage is

Registration for audience members is required for catering numbers, and is now open at

About Mathematics of Networks: MoN is an informal series of meetings that has now been running since 2003. The series encourages interdisciplinary communication in networking research. It is an excellent venue for presenting new ideas or gaining a wider audience for established research. Presentations on any aspect of networks are welcomed, particularly if the techniques or conclusions are applicable in other networking disciplines. Attendance is free of cost.

VI Mediterranean School of Complex Networks

last modified Feb 18, 2019 12:58 PM

We are calling for applications from students and young researchers in Network Science for the 6th edition of the Mediterranean School of Complex Networks, which will take place in Salina (Italy), 31 Aug-6 Sep 2019.

Early applications are expected before 31 March 2019 (no payment required at this step).

Since its first edition in 2014, our School trained more than 190 early-career researchers in Network Science from 4 continents. All details about previous editions, location, important dates and travel are available at the official website:

Please, note that for the youngest researchers (no more than two years from their PhD completion) who are members of the Complex Systems Society, we will grant up to two scholarships covering the registration fee.

Complex Networks 2019- Lisbon

last modified Feb 18, 2019 12:57 PM

Eighth Int. Conference on Complex Networks & Their Applications Lisbon, Portugal Dec. 10- 12, 2019

You are cordially invited to submit your contribution until September 03, 2019.

Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome.

- Papers will be included in the conference proceedings edited by Springer
- Extended abstracts will be published in the Book of Abstracts (with ISBN)
- Extended versions will be invited for publication in special issues of international journals.

For more information, see:

Alan Turing Data Study Group- April 2019

last modified Feb 18, 2019 12:56 PM

The next Alan Turing Data Study Group will be held at The Alan Turing Institute from 8 to 12 April 2019.

Data Study Groups bring together researchers, data practitioners, and industry representatives from leading organisations to work together on data science challenges posed by partner organisations in multi-disciplinary teams, enabling researchers to build collaborations and work with real-world industry datasets.

In April we will host the following challenges:

Roche - Personalised lung cancer treatment modelling using electronic health records and genomics
Great Ormond Street Hospital - Augmenting clinical decision making in intensive care (ACaDeMIC)
NATS UK Air Traffic Services Provider - Using real world data to advance air traffic control
Spend Network - Automated matching of businesses to government contract opportunities
British Antarctic Survey - Seals from space: automated Antarctic ecosystem monitoring via high-resolution satellite imagery

Deadline to apply: Monday 4 March 12:00 noon GMT.

For more information, see:

Workshop: Critical and Collective Effects in Graphs and Networks - 2019. Les Houches, France

last modified Feb 18, 2019 12:55 PM

Workshop on Critical and Collective Effects in Graphs and Networks (CCEGN - 2019).
Les Houches (France). May 5-10, 2019.

The web page of the workshop with the information about topics and speakers may been found here:

The main topics of the workshop include:
1) Spreading phenomena and other dynamical process on networks, Griffiths phases and spectral methods;
2) Metric structure of random graphs, and spatially embedded random graphs;
3) Random graphs with quenched disorder, microcanonical and canonical ensembles of random graphs, phase transitions, belief propagation and related questions;
4) Statistical methods in interdisciplinary applications: social and ecological networks, genomic networks, neuroscience.

Online registration is open till 5 of April 2019. All information about the registration can be found at the web page of the workshop in the section "Registration".

NetMob 2019- Oxford

last modified Feb 18, 2019 12:53 PM

Where and When:
Mathematical Institute, Oxford University, Oxford, UK
July 8-10, 2019

NetMob is the primary conference in the analysis of mobile phone datasets in social, urban, societal and industrial problems. Previous editions in Boston and Milano brought together more than 250 researchers, practitioners and decision-makers from more 140 institutions and 30 countries.

Call for abstracts:
The conference format is flexible: one track of short contributed talks, a simplified submission procedure (1-page abstracts only), and the possibility to present recent results or results submitted elsewhere. We welcome all contributions that deal with the analysis of mobile phone datasets. This includes but is not limited to the analysis of CDRs, mobile location data, wifi usage, app-generated data, Twitter, Facebook, etc.

Important dates:
*Submission deadline: 15 March 2019
*Notification of acceptance: 30 March 2019
*Registration opening: 30 March 2019

Entropy- special issue

last modified Feb 18, 2019 12:52 PM

The journal Entropy (IF: 2.3) has opened a call for papers for a special issue edited by Dr. Lucas Lacasa devoted to entropy and complexity measures in nonlinear dynamics and complex systems, including network science. Both theoretical and applied papers are welcome.

The link is here:

Deadline for manuscript submissions: 30 September 2019