Job Opportunities

PhD position opening

Understanding self- and collective Brownian dynamics of model colloids has been a challenge for many years. The precise determination of colloidal dynamics beyond simple Stokes-Einstein diffusion remains a challenge for concentrated, turbid and non-ergodic systems as well as for systems with many degrees of freedom. Here precision measurements of the dynamics under well defined boundary conditions are the key to develop a refined theoretical understanding. We recently demonstrated the possibility of Super-Heterodyne Dynamic Light Scattering over a large q-range (Colloid Polym. Sci, 299, 259-268 (2021). Demonstration of variable angle Super-Heterodyne Dynamic Light Scattering for measuring colloidal dynamics ). This approach should be able to successfully address most of the named difficulties.

We are looking for a PhD candidate willing to face this challenge working in a small international team, and turning the present prototype into a real workhorse. Scientific enterprises may include e.g., measurements of q-dependent collective dynamics in different phase states (equilibrium fluid vs. metastable melt states), of the dynamics in turbid systems (paint, milk, blood), of the dynamics in non-ergodic systems (colloidal glasses and gels), or the short time dynamics during phase transitions.

The open PhD-position requires interest in precision instrumentation as well as solid knowledge in at least two fields encompassing condensed matter physics, physical chemistry, colloid physics, Fourier optics, or (dynamic) scattering experiments-The student will receive comprehensive training at the bench and be exposed to state of the art research. The student will further have the opportunity to apply for membership in the MPGC graduate school. A typical PhD project duration is three years including attendance to summer schools and international conferences. Initial payment is according to 50% EG13 with the option to improve according to performance.

If you are interested, contact palberg@uni-mainz.de