Would you like to be a part of something bigger?
Would you like to use state-of-the-art computational methods and machine learning tools to discover new stable and active photo-materials & catalysts?
Are you a candidate with a diverse background?
If you answered yes to all 3, please apply ASAP, see below:
The ideal candidate should have a PhD in Material Science, Physics or Chemical Engineering/Chemistry within the past 3 years and possess a detailed understanding of the modeling of bulk photo-materials properties and or dynamics at interfaces. A knowledge of the surfaces within density functional theory and its application in heterogeneous catalysis is a bonus.
Mid- to high-level python programming skills with Pymatgen and ASE are necessary to produce and analyze the data. 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, written and graphical competency in the English language is essential.
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:
Please contact LiSA Projetc PI: Staff Scientist, Dr. Michal Bajdich, email@example.com
SUNCAT Center for Interface Science and Catalysis, Chemical Science, SLAC National Accelerator Laboratory, 2575 Sand Hill Road MS31, Menlo Park, CA 94025, USA