We have a vacancy for a PhD student working at the intersection of computer sciences and geosciences, with important contributions to the next generation modelling software.
Information about the position can be found at:
Search for (select ‘Academic’ and ‘Faculty of Geosciences’):
PhD Parallel algorithm design for distributed geoscience applications
Or use the direct link:
The Global Geo Health Data Centre, which closely cooperates with the PCRaster research team, has a vacancy for a spatial data/software engineer. The description of the vacancy is at the Utrecht University vacancy site, direct link to the vacancy description is here.
RIVM is offering a traineeship to construct PCRaster models for the ‘Atlas Natuurlijk Kapitaal’. Information is available at (in Dutch) http://karssenberg.geo.uu.nl/traineeshipRIVM.html.
We have vacancy for an environmental modeller. The successful candidate will work in the Global & Geo Health Data Centre project, in close cooperation with the PCRaster team. The description of the vacancy is at the Utrecht University vacancy site, a direct link is here.
Our department has a vacancy for an assistant professor in natural hazards, earth observation and geocomputation. The successful candidate will have the opportunity to contribute to PCRaster related research. The description of the vacancy is here.
We have a vacancy for a PhD student working at the intersection of geocomputation and environmental health science. The successful candidate will work in a multidisciplinary team under supervision of Dr Derek Karssenberg (PCRaster research team, Faculty of Geosciences, Utrecht University) and Dr Ilonca Vaartjes (University Medical Center Utrecht). Detailed information is at http://www.werkenbijumcutrecht.nl/international/vacancies/Pages/phd-gghdc%20(2016-0557).aspx
We are steadily working towards a new version of PCRaster that is better capable of using the current generation of hardware resources. The goal is to make future versions of PCRaster execute models faster. More information about this work can be found on the new High-performance modelling parent project page.
We are glad to announce the final release of PCRaster-4.1.0! We fixed several bugs in the software and documentation, added support for pickling PCRaster Python types, and changed the location of shared libraries on Windows. For more information please visit the download page.
We released a beta version of the upcoming PCRaster-4.1.0 release. The (user visible) changes are listed here:
PCRaster packages are available for:
We dropped support for Window 32 bit. If 32 bit Windows is still important for you, you can stick with the previous version of PCRaster (4.0.2).
Please give this beta a spin if you have the chance. Note that since PCRaster 4, multiple versions of PCRaster can be installed side by side. You never have to uninstall a previous version if you prefer not to. Just install each new version next to the older one(s) and update the PATH and PYTHONPATH environment variables. If things don’t work for you, then please let us know, and revert the environment variables to their previous settings.
In case no show-stopper bugs are found, we plan to release the final version of PCRaster-4.1.0 about two weeks from now.
We have added e-Lectures to our online courses on dynamic modelling. The lectures provide a short introduction to the material. Subscribe now at the Courses link above to learn how to use our software!