i-CONN is a Marie Skłodowska-Curie Innovative Training Network (ITN) project funded by the European Commission, under their H2020 program. The network consists of 10 Universities and three partner organisations across Europe, and brings together scientists from Astrophysics, Computer Science, Ecology, Geomorphology, Hydrology, Neuroscience, Systems Biology and Social Science.  

The goal of i-CONN is to train a new cohort of researchers specialized in the developing field of Connectivity Science who will be capable of developing interdisciplinary approaches to connectivity across a range of disciplines and real-life applications in the next five to 10 years.  

i-CONN will recruit and train 15 young Early Stage Researchers (ESRs) to become experts with a unique skill set that includes interdisciplinary scientific techniques, through bespoke training courses and through a series of secondments to partner institutions across the EU.

ESRs will work on:

1) developing the theoretical underpinning of connectivity science for applications in complex systems;

2) developing a unified framework of methods and approaches that can be applied across disciplines;

3) exploring applications of Connectivity Science to understand, adapt to and manage complex systems.  

ESR positions are available or will be open soon in the following institutions:  

  1. Durham University (UK): Spatial and temporal roles of critical nodes in complex systems
  1. Jacobs University (Germany): Minimal models of dynamics on networks to study SC/FC relationships
  1. Jacobs University (Germany): Self-organized collective patterns on graphs
  1. Masarykova Univerzita (Czech Republic): Catastrophic transitions: Regime shifts in network topology resulting in novel   systems
  1. Université d’Aix Marseille (France): Connectivity Science testing and tool development with data across disciplines
  1. Durham University (UK): Scaling connectivity science
  1. European University Cyprus (Cyprus): Structure in patterns in ordered datasets with applications in astrophysics, neuroscience and archaeology
  1. BOKU (Austria): Changing connectivity properties impacting resilience in riverine landscapes as socio-ecological systems
  1. Masarykova Univerzita (Czech Republic): Critical nodes in economic connectivity: A multi-method application to facilitate structural transitions
  1. University of Vienna (Austria): Hotspots and hot moments: the role of connectivity and resilience science for managing human-impacted catchment systems
  1. AAISCS (Cyprus): Time-ordered events and connectivity
  1. MODUL (Austria): Flows of critical (energy) resources
  1. Durham University (UK): Resilience of human interactions with new landscapes
  1. Durham University (UK): Understanding the emergence of connectivity science in practice: a network of network colleagues
  1. Environment Agency (UK): Use connectivity science to determine the fate (source-pathway-interceptors) of specific agricultural derived chemicals and pathogens in the water supply chain