Two postdoc positions are available at the SUNCAT Center for Interface Science and Catalysis at SLAC National Accelerator Laboratory in Menlo Park, California, USA. The appointments are for 1 year with a possible extension of 1 year (1+1) based on successful productivity and funding.

Position 1: Postdoc in theoretical thermal catalysis

https://suncat.stanford.edu/opportunities/post-doctoral-research-fellow-theoretical-thermal-catalysis

The project focuses on developing an understanding of chemical reactions, such as alkane dehydrogenation or syngas to oxygenates, applying site-specific correlations recently introduced from our group. The work will require development of new or expansion of already existing models describing surface specific phenomena coupled with kinetic modeling of reactivity.

The ideal candidate should have a PhD in Chemical Engineering, Physics or Chemistry and possess a detailed understanding of the modeling of surfaces within density functional theory and its application in heterogeneous catalysis. Some knowledge about energy correlations and their limitations in heterogeneous catalysis is desirable.  Mid- to high-level programming skills are necessary to run the DFT and micro-Kinetics codes. The applicant is required to have good team skills and should possess the ability to handle and monitor several projects at the same time. Oral and written competency in the English language is essential.

Position 2: Postdoc in catalysis data science

https://suncat.stanford.edu/opportunities/post-doctoral-research-fellow-catalysis-data-science

The project focuses on developing structure-property relationships linked directly to thermal as well as electrochemical catalysis using deep-learning methods from the computer science community. 

The ideal candidate should have a PhD in Physics, Chemistry or Chemical Engineering and possess a detailed understanding of the modeling of surfaces within density functional theory and its application in heterogeneous catalysis. Strong programming skills in Python and experience with scientific software development, machine-learning and/or statistical modeling are required. The applicant is expected to have good team skills and should possess the ability to handle and monitor several projects at the same time. Oral and written competency in the English language is essential.

Applications

Individuals wishing to apply should provide the following:

• Letter of application that states the applicant’s interest in the position and description of qualifications based on the credentials listed above.
• A curriculum vitae
• List of publications
• Contact information for 2-3 references

SLAC Contact Information:

Dr. Frank Abild-Pedersen

Sr. Staff Scientist, SUNCAT Center for Interface Science and Catalysis

Chemical Science, SLAC National Accelerator Laboratory,

2575 Sand Hill Road MS31, Menlo Park, CA 94025, USA

Tel. +1 (650) 926-2480

Email: [email protected]