DESCRITION: The position, which is funded under the core SUNCAT funding for at least 2 years (based on yearly basis), involes method developement and extensive implementation (python coding) of new electochemical methods that can describe ground and trasition state properties at the Catalysts-electrolyte inteface. The researcher will have a opprtunity to fully integrate the electrochemistry with our python workflow and data storage at the Catalysis-hub.org. ML acceleration, experiment-theory collabs and beyond DFT will be strongly encouraged. Further opportunities within Stanford and SLAC-DOE are also possible in a long term.
CONTACTS: Please contact MIchal Bajdich (firstname.lastname@example.org) for application and position details.