We are always looking for enthusiastic postdocs and PhD students who have a background in fluid dynamics and numerical techniques. Please contact us if you are interested.
Postdocs
Currently, there are two postdoc positions available in our group: one on double-diffusive convection in rotating boxes and spheres, and one on machine learning for turbulence or DNS for highly turbulent flow with CPU or GPU.
If you are interested in working with us with your own funding, there are also several opportunities:
Humboldt Research Fellowship (so far, three Humboldt fellowships have been awarded to our group)
DFG Research Grant (so far, I am the PI for two DFG research grants)
PhDs
Currently, there are several PhD positions available in our group. Contact us for further information. Topics that we are particularly interested in are:
Machine Learning prediction of reversals in thermal convection and geomagnetic field (co-supervised together with Johannes Wicht)
DNS of low Prandtl number convection (co-supervised together with Laurent Gizon)
Keplerian turbulence: thermal and magnetic effects
Data driven method for CFD
Fluid structure interaction in stokes flow
Master thesis
There are various topics available in our group (unsteady bio-locomotion, turbulence, machine learning in CFD, geo- and astrophysical flow).