Doctoral Networks (DN)

Doctoral Networks aim to train a new generation of creative, entrepreneurial and innovative early-stage researchers, able to face current and future challenges.

Doctoral Networks supports competitively selected joint research training and/or doctoral programmes, implemented by partnerships of universities, research institutions, research infrastructures, businesses, small- and medium-sized enterprises, and other socio-economic actors from different countries across Europe and beyond.

Projects coordinated by researchers from our Faculty:

MARmaED

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Joël Durant

MARine MAnagement and Ecosystem Dynamics under climate change

Project duration: 2015-2019

Grant agreement ID: 675997

Call ID: H2020-MSCA-ITN-2015

The objectives of this project are:

  • To increase the marine scientific knowledge base by integrating traditionally separate scientific disciplines within a unified learning platform.
  • To train a new generation of innovative researchers with interdisciplinary experience and skilled in promoting marine science to a wide audience.

NanoHeal

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Dag Kristian Dysthe

Nano-tailoring organo-mineral materials -Controlling strength and healing with organic molecules in mineral interfaces

Project duration: 2015-2018

Grant agreement ID: 642976

Call ID: H2020-MSCA-ITN-2014

The aims of this project are to:

  • Develop innovative probes and models for nanoscale processes that open novel perspectives in design and control of organo-mineral materials
  • Measure and improve the strength and durability of new man-made cemented materials
  • Educate young interdisciplinary researchers at the interface between fundamental science and European industry

ZEOMORPH

Stian Svelle

A new concept in zeolite catalysis: Morphology induced shape selectivity

Project duration: 2013-2017

Grant agreement ID: 606965

Call ID: FP7-PEOPLE-2013-ITN

The scientific vision of this a European Industrial Doctorate project is to establish a new concept within shape selective zeolite catalysis - morphology induced shape selectivity, wherein the shape selective properties will be determined primarily by particle morphology and not framework topology.

Final Report Summary

Projects our researchers participate in:

    H2020:

    FP7: