Postdoctoral Position for Development & Application of X-ray Methods in Catalysis Research

Website SSRL_news The Stanford Synchrotron Radiation Lightsource (SSRL) at SLAC

The Stanford Synchrotron Radiation Lightsource (SSRL), a Directorate of the SLAC National Accelerator Laboratory, Stanford University, and a national user facility, seeks a Ph.D. Postdoctoral Scholar with research interest and experience in synchrotron X-ray characterization of materials, with an emphasis on catalysts.

This up to 2-year postdoctoral position will involve using in-situ/operando synchrotron-based methods, primarily X-ray absorption spectroscopy (XAS), to study all aspects of catalysis. This is an exciting time to join SSRL as SSRL has begun the process to establish a wiggler beamline configured specifically for catalysis research. The focus of the postdoctoral project will be in developing advanced methods in data processing, data analysis and data modeling. The candidate will join a group at SSRL, under the guidance of Simon R. Bare, whose mission is to develop a world-class synchrotron catalyst characterization facility, and has recently received funding to establish the Consortium for Operando and Advanced Catalyst Characterization via Electronic Spectroscopy and Structure (Co-ACCESS).

The candidate will also give instruction on data analysis to the catalysis user community. The candidate will work closely with visiting scientists, postdoctoral fellows, and students from leading research groups, on all aspects of the synchrotron-mediated research; provide guidance to, and foster the development of, graduate and undergraduate students; publish experimental results in scientific journals and present results at scientific meetings; and maintain a safe working environment in the laboratory.

Qualifications: • Ph.D. in physics, chemistry, chemical engineering, materials sciences or related fields. • Experience with all aspects of synchrotron X-ray absorption spectroscopy is a must, including demonstrated ability in data analysis and modeling of XAS data. Use of Athena/Artemis preferred. • Strong programming skills in Python and knowledge of instrument control strongly preferred. • Willingness to learn and bridge knowledge/experience gaps. • Ability to work independently and in a team environment. • Strong organizational skills a must.

Please send a letter with CV and list of publications, and names of two references, to the address below:

Simon R. Bare, email: simon.bare@slac.stanford.edu