Through cutting-edge research in the fields of ENERGY, HEALTH and MATTER, Helmholtz-Zentrum Dresden-Rossendorf (HZDR) solves some of the pressing societal and industrial challenges of our time. Join our 1.400 employees from more than 50 nations at one of our six research sites and help us moving research to the next level!
Hoffmann lab at the Institute of Radiation Physics is researching machine learning based digital twins of laser-driven plasma accelerators contributing to our fundamental research about theory, experimental validation and automatic control of this system enabling promising applications like next generation X-ray light sources. More details about our research can be found here: https://photon-ai-
You will be researching machine learning methods that are solving inverse problems encountered by our experimentalists. From a mathematical perspective, you will be dealing with the phase problem which is quite prominently encountered in analysis of X-ray diffraction data that we are collecting at our HIBEF instrument at EuropeanXFEL (https://www.xfel.eu/index_eng.html
). You will be designing method that integrate information from many orthogonal observations of the system’s state, incorporate prior knowledge about physical processes while being robust to out-of-distribution data. You will be also coordinating your efforts with all involved parties to stimulate fast integration of your code into experiment at HZDR as well as EuropeanXFEL.
Does that sound interesting to you as a Physicist, Mathematician or Computer Scientist? Then submit your applications as Postdoc (f/m/d) Inverse Problems/Imaging/Optimisation as soon as possible.
The position will be available from 1 August 2022. The employment contract is limited to 31 December 2023 but extensions will be possible upon success.