Applications are invited for a 1-year postdoctoral research position at the SUNCAT Center for Interface Science and Catalysis, with possibility of extension for another year based on mutual consent and continued funding.
 
The successful candidate will develop new Bayesian error estimation functionals (BEEF). The construction of such a BEEF functional relies on self-consistently generating DFT databases while improving the functional. The requirements for this position are thus twofold: the ability to routinely and efficiently run large throughput of planewave DFT calculations (bulk and surfaces) and the ability to extend and code software infrastructure required for the functional generation. Python programming skills are required for the latter.
 
Interested applicants with a PhD in physics, chemistry, or materials science and with a strong DFT and method development background are encouraged to apply via email to
Dr. Johannes Voss
Please include a C.V., letter of motivation, and the contact information for two academic references. Applications are accepted until January 31st, 2017, and the starting date is negotiable thereafter.
 
The SUNCAT Center for Interface Science and Catalysis is a partnership between Stanford School of Engineering and SLAC National Accelerator Laboratory. The Center explores challenges associated with the atomic-scale design of catalysts for chemical transformations of interest for energy conversion and storage.
http://suncat.stanford.edu/