VRVis is looking for a skilled and creative mind who would like to join our Integrated Simulations R&D-team while ideally pursuing a PhD which will be supervised academically by Prof. Michael Wimmer.
We are offering an open-ended position to a computational scientist (f/m/d) who would develop neural networks for microclimate simulations in the context of practical climate-sensitive planning.
Your responsibilities:
- Research physics-driven machine learning (PINN’s etc.) for microclimate simulation (heat, wind, water) for real-world use cases.
- Investigate deep learning-based solutions for forward- and backward problems in a decision support system
- Publish your research results at renowned scientific venues
Your work and research results will be integrated into the software scenarify, VRVis' simulation software solution for decision support in climate change adaptation and disaster management.
Your background:
- A master’s degree in computational science, mathematics, physics, environmental engineering, or a related field with a focus on machine learning as well as physical modelling and simulation
Good understanding of partial differential equations and fluid dynamics in particular
Good understanding of machine learning algorithms and techniques, ideally practical experience with those
Applications are welcome!
Please forward your application documents to Franziska Steyer-Beerman (HR) via e-mail to
franziska(at)vrvis.at
For a more detailed description, please refer to the attached pdf or to our website
