We seek to fill one position in the research group on Turbulence and Particles in Fluids lead by Dr. Gholamhossein Bagheri and in collaboration with Prof. Dr. Eberhard Bodenschatz, who directs the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB).
Atmospheric clouds and aerosols are major sources of uncertainty in weather and climate prediction due to their complex, multi-scale nature — from nanometers to hundreds of kilometers. Turbulence and intricate flows play a role across these scales, making field studies essential for capturing their full complexity. To address this, we developed the Max Planck Cloud-Kite (MPCK), an airborne platform for high-resolution atmospheric meas-urements. MPCK has been deployed over the Atlantic during EUREC4A and in Arctic Finland, performing autonomous measurements like particle image velocimetry and holography. We are seeking a highly motivated postdoctoral researcher to join our multidisciplinary team at the intersection of optics, electronics, machine learning, and atmospheric science. The successful candidate will lead the design, development, and deployment of next-generation holographic particle imagers for both laboratory and in-situ atmospheric measurements. A key objective of this task is to further develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization of particle size, shape and concentration.
We seek a motivated early-career researcher with a PhD in physics, engineering, meteorology, or a related field, eager to advance our understanding of aerosols and cloud microphysics.
Apply NowDeadline 15 July