- a theoretical background with a PhD in Mathematics, Physics, Computer Science or similar
- a deep understanding of physical optics and machine learning as well as the ability to quickly grasp and discuss ideas in these areas
- practical state-of-the-art knowledge on neural networks, synthetic data generation, and machine learning based simulation techniques
- excellent programming skills in Python, Matlab, or C++ and you are familiar with toolkits such as OpenGL and Tensorflow
- preferably parallelization skills (CUDA, OpenCL, OpenMP)
- an innovative and decidedly hands-on mindset: you love to work on hard problems
Help us shape the future!