Thanks to the WelT grant we recently obtained, we are now looking for three new members for our team here at CiTOS!
Two PhD student and one Postdoc position are currently open.
The goal of this project is to decrease the reliance on trial-and-error approaches to chemistry by using quantum mechanics computations to obtain a priori knowledge of a chemical reaction. This project brings together computational modeling to generate initial data, and machine learning to home in on an effective prediction model for reactivity. This model will be used to predict optimal reaction conditions, which will then be tested using a microfluidic flow reactor. Experiments will be conducted on an in-house automated platform equipped with inline monitoring. This approach will be applied to novel synthetic routes, for which there is no existing data, to showcase how novel, more efficient synthetic routes can be developed with a minimal number of experiments through the combination of these disciplines.
More details on the candidature can be found at: