Computational Scientist (f/m/d) for Physics-Driven Machine Learning in Climate-Adapted Planning

master’s degree in computational science, mathematics, physics, environmental engineering, or a related field; ideally willingness to pursue a PhD

VRVis, Austria’s largest research institute for Visual Computing, located in Vienna, is looking for a skilled and creative mind!

We offer an open ended position for a computational scientist / PhD-student (f/m/d) developing 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

* Share your findings, i.e.publish your research results at renowned scientific venues

Interested?

For more detailed information please refer to our website posting at www.vrvis.at/ueber-uns/offene-stellen/computational-scientist-for-physics-driven-machine-learning-in-climate-adapted-planning

We are looking forward to hearing from you :)