Post Doctoral Research Fellow in catalysis data science

Tuesday, November 3, 2020

Job description:

A Post Doctoral position is available for immediate start. 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 position is at the SUNCAT Center for Interface Science and Catalysis at SLAC National Acceleratory Laboratory in Menlo Park, California, USA. The appointment is for 1 year with a possible extension of 1 year (1+1) based on successful productivity and funding.

Job requirements:

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.

Location: 

SLAC National Accelerator Laboratory

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: abild@slac.stanford.edu