NWO-I
NWO-I
Utrecht, Netherlands

NWO-I

NWO-I, the Institutes Organisation of NWO, formerly the Foundation for Fundamental Research on Matter (FOM) is fully named the Netherlands Foundation of Scientific Research Institutes. NWO-I is an independent foundation, that belongs to the Netherlands Organisation for Scientific Research (NWO). The office of NWO-I is located on the Van Vollenhovenlaan in Utrecht.

NWO-I supports the NWO Institutes. At this moment it concerns only the former FOM Institutes:

  • AMOLF Laboratorium voor moleculair en materiaalonderzoek
  • ARCNL Advanced Research Center for Nanolithography
  • DIFFER Dutch Institute for Fundamental Energy Research
  • Nikhef Institute for Subatomic Physics Nikhef

The other NWO Institutes are intended join  NWO-I as from 1 January 2018:

  • ASTRON Netherlands Institute for Radio Astronomy
  • CWI National Research Institute for Mathematics and Computer Science
  • NIOZ Royal Netherlands Institute for Sea Research
  • NSCR The Netherlands Institute for the Study of Crime and Law Enforcement
  • SRON Netherlands Institute for Space Research

200 workgroups are part of NWO-I, where physics research takes place at Dutch universities and institutes (see below). This research will take place until the former FOM-projects have been seen to an end.

For further information, please visit the website
www.nwo-i.nl.

NWO-I in a nutshell
NWO-I employs as of 31 December 2016 almost 1100 people of which 66 are permanent scientific staff, 185 postdocs, 478 PhDs and 356 technicians and other employees. The research is carried out at four institutes and by 200 university workgroups spread over 11 Dutch universities. The employees produce around 100 PhD theses and 1200 scientific articles per year.

NWO Transition
On 1 January 2017 FOM was converted to NWO-I, the Institutes Organisation of NWO. Together with other NWO divisions FOM formed a new organisation, as part of the NWO Transition. FOM was divided into three parts: 'granting' is now part of the NWO Domain Science, another part joined the Operations division and the staff supporting the institutes and university Work groups became NWO-I. The NWO Institutes NSCR, NIOZ, ASTRON, CWI and SRON will become part of NWO-I from 1 January 2018 onwards.

JOBS FROM THIS EMPLOYER (17)

NWO-I
NWO-I
Location: Utrecht, Netherlands
PhD position: Modelling non-equilibrium CO2 plasmas for solar fuels
Dissociation of CO2 in high-frequency plasmas relies on exploiting vibrational excitation and dissociation kinetics driven by non-equilibrium conditions for electrons in the plasma. Current methods to model this system are based on strong approximations, due to the complex...
NWO-I
NWO-I
Location: Utrecht, Netherlands
PhD position: Valleytronics in 2D semiconductors in High Magnetic Fields
Within a collaboration between the groups Semiconductors & Nanostructures and Soft Condensed Matter and Nanomaterials of the High Field Magnet Laboratory (HFML) in Nijmegen, this project is related to our research on low-dimensional electron systems in high magnetic fields....
NWO-I
NWO-I
Location: Utrecht, Netherlands
PhD position: Understanding Absorption of Light in Solar Cells
In this project, we aim to obtain a breakthrough in the 3D modelling of the absorption of light in novel photovoltaic cells. Absorption in complex nanophotonic media is generally interpreted by considering light to diffuse without interference. Here we take a radically different...
NWO-I
NWO-I
Location: Utrecht, Netherlands | Closing on Aug 15
PhD position: Detection of action potential propagation in 3D axons using intrinsic holographic contrast
Understanding how the brain orchestrates our thoughts and actions and how it is affected in disease are arguably among the most complex questions facing science today. Although classic biophysical work has firmly established how neuronal signals can emerge from the interplay...
NWO-I
NWO-I
Location: Utrecht, Netherlands | Closing on Aug 15
PhD-position: Statistical physics of machine learning and neural networks
In recent years, methods from machine learning have make great advances to solve difficult problems in artificial intelligence. In particular, (deep) feed-forward neural networks have re-established themselves as one of the most powerful learning architectures. This has led to...