Postdoc Positions

SUMMARY: A Postdoctoral position is available for immediate start to develop density functional theory (DFT) and machine learning (ML) based methods to model the stability and catalytic activity of dynamic transition metal oxide surfaces. We are seeking a highly qualified candidate with a strong background in heterogeneous (electro) catalysis, density functional theory and machine learning. Experience with global optimization algorithms, molecular dynamics and ML force field approaches is also desirable.


Dear Reserachers, 

Our SUNCAT team focussing on electrochemical properties of oxides recieved two seperate but related grands on hydrogen technologies from the The Hydrogen and Fuel Cell Technologies Office (HFTO), and Office of Energy Efficiency and Renewable Energy (EERE), DOE.  Both projects are in direct collaboration with experimentalist, including Stanford, SLAC, Carnegie Melon and Plug Power.

Position one: DFT modeling of Low Iridium Loading Catalyst for Durable PEM Water Electrolyzers (PEMWE)


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 interests and experience in heterogeneous catalysis with an emphasis on in-situ/operando catalyst characterization.


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 interests and experience in synchrotron x-ray scattering and spectroscopy, with an emphasis on in-situ/operando characterization including methods for processing and interpreting large data sets.


SUMMARY: A Postdoctoral position is available for immediate start for the development of ML models for catalyst degradation. We are seeking a highly qualified candidate with a detailed understanding of heterogeneous catalysis as well as extensive experience with machine learning. Experience with theoretical/computational catalysis is also desirable.

KEYWORDS: Catalysis data science, machine learning


We would like to bring your attention to the Stanford Energy Postdoctoral Fellowship

 

The Stanford Energy Postdoctoral Fellowship aims to identify, develop, and connect the next generation of energy leaders from science and engineering to policy and economics, with a focus on interdisciplinary approaches to accelerate the global energy transformation. Fellows in this program benefit from dedicated professional development and community building programming that will prepare them to address global energy challenges. 


SUMMARY: A Post Doctoral position is available for immediate start in catalysis data science. We are seeking a highly qualified candidate that possesses a detailed understanding of density functional theory and machine learning. Experience with surface calculations, high throughput computation, and electrocatalysis is also desirable.

KEYWORDS: Catalysis data science, DFT, machine learning


Postdoc in quantum Monte Carlo (QMC) and catalysis at Stanford/SLAC.

Are you a quantum Monte Carlo (QMC) expert, developer or user? Do you work on methods beyond DFT?

We seek a single quantum Monte Carlo (QMC) expert to apply the latest generation of the QMC codes on peta and exa-scale computers (Perlmutter, NERSC) with the goal to create new catalytic adsorption benchmarks on metal-oxides systems. This project is about the real-world energy applications of QMC to electro and phot catalysis.


Would you like to be a part of something bigger?

https://www.liquidsunlightalliance.org/

Would you like to use state-of-the-art computational methods and machine learning tools to discover new stable and active photo-materials & catalysts?

https://www.liquidsunlightalliance.org/goal-3

Are you a candidate with a diverse background? 


SUMMARY: A Post Doctoral position is available for immediate start in theoretical thermal catalysis.  We are seeking a highly qualified candidate that possesses a detailed understanding of 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.  

KEYWORDS: Computational Thermal catalysis, DFT, kinetic modeling


SUMMARY: At SUNCAT, we are seeking a highly qualified candidates to work on New methods in Computational Electrochemistry. Candidates with advanced programing skills (python,SQL and javascript) and high accuracy ab-initio specialists (including beyond DFT such as QMC) are encouraged to apply. 

KEYWORDS: Computational Electrochemistry, DFT, QMC, python,SQL and javascript, databases


This position has been filled - please check back later for future opportunities!

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The SUNCAT Center for Interface Science and Catalysis is seeking a postdoctoral scholar to work in the area of experimental electrocatalysis and photoelectrocatalysis


Job description:

A post-doctoral position is available at the SUNCAT Center for Interface Science and Catalysis. The project will focus on experimental work in the area of thermal heterogeneous catalysis. In particular, the post-doctoral researcher will aim to achieve control over the morphology and composition of supported nanoparticle catalysts to understand fundamental catalytic processes at the atomic level for key energy-related chemical reactions, including but not limited to: alkane dehydrogenation, syngas to oxygenates and CO2 activation and conversion.  The work will require the synthesis, testing and characterization of catalytic materials. The candidate will also be involved in the development of SUNCAT operando capabilities at SLAC National laboratory. The position is at the SUNCAT Center for Interface Science and Catalysis, a partnership between Stanford University and 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 research productivity and continued funding.

SUNCAT values the power of diversity, equity, and inclusion, which enable excellence in research.


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.