i-CONN: 15 Early Stage Researcher positions 1730 views

The i-CONN is Marie Skłodowska-Curie Innovative Training Network (ITN) project funded by the European Commission, under their H2020 program.  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.

About the project:

• 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.

Eligibility:

• Applicants should have (at the date of recruitment), less than 4 years of a research career, and not have a doctoral degree.
• Trans-national mobility: The applicant (at the date of recruitment) should not have resided in the country where the research training takes place for more than 12 months in the 3 years immediately prior to recruitment, and not have carried out their main activity (work ,studies, etc.) in that country.
• Satisfy the eligibility requirements to enrol on a PhD degree. This includes acceptable English language requirements if English is not your first language.

Applications:

• All applications are to be submitted via the hosting institution and applications must include the following:
• A copy of CV
• Degree transcripts
• A motivation letter
• Names of 2 referees

ESR PROJECT POSITIONS

• ESR 1 Spatial and temporal roles of critical nodes in ecogeomorphic systems
• ESR 2 Minimal models of dynamics on networks to study generic SC/FC relationships
• ESR 3 Self-organized collective patterns on graphs
• ESR 4 Catastrophic transitions: Regime shifts in network topology resulting in novel systems
• ESR 5 Analysis of multi-frequency dynamic coherence networks in large-scale electrophysiological recordings
• ESR 6 Scaling connectivity science in fluvial systems
• ESR 7 Structure in patterns in ordered datasets with applications in astrophysics, neuroscience and archaeology
• ESR 8 Changing connectivity properties impacting resilience in riverine landscapes as socio-ecological systems
• ESR 9 Critical nodes in economic connectivity: A multi-method application to facilitate structural transitions
• ESR 10 Hotspots and hot moments: the role of connectivity and resilience science for managing human-impacted catchment systems
• ESR 11 Connectivity within network processes and coupling with global flows
• ESR 12 Flows of critical (energy) resources
• ESR 13 Resilience of human interactions with new landscapes
• ESR 14 Understanding the emergence of connectivity science in practice: a network of network colleagues
• ESR 15 Use connectivity science to determine the fate (source-pathway-interceptors) of specific diffuse chemicals and pathogens in the water supply chain