Job announcements relevant to people interested in electronic structure calculations…
Due to the large number of posts recently, there is currently a delay of several weeks between posts being submitted and the corresponding emails being distributed to all users. Please bear with us while we try to improve this. In the meantime – and until this notice is removed – it would assist us considerably if you could submit only important and/or urgent posts and thus help to reduce the size of the mail queue. Under no circumstances should you resend posts multiple times when you find the emails are not distributed immediately.
In light of the Russian military offensive in Ukraine, we request that announcements relating to events, jobs and other activities associated with institutions supported by the Russian and Belarusian states are not posted to the Psi-k forum.
Opening for a Post Doctoral Fellowship in Cataly ... (No replies)
Back to Job listings...
SUMMARY: A Post Doctoral position is available for immediate start in catalysis data science, at the SUNCAT Center for Interface Science, Stanford University and SLAC National Accelerator Laboratory: https://suncat.stanford.edu/opportunities/opening-post-doctoral-fellowship-catalysis-data-science#overlay-context=opportunities/opening-post-doctoral-fellowship-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.
DESCRIPTION: The project focuses on developing machine learning accelerated frameworks for the discovery of mixed and doped transition metal oxide catalysts. The work will involve the development ML models for adsorption energetics based on electronic structure descriptors, as well as integrating these models with active learning ML frameworks. Furthermore, the candidate is expected to collaborate on projects involving fundamental and electrochemical aspects. The research is funded through DOE and the position is for 2 years (1+1), where continuation is based on a yearly evaluation.
A successful candidate will satisfy the following:
Preview of applications begins immediately. Applications are accepted until the position is filled.
Please include a letter of motivation, C.V. with list of publications, coding contributions (such as git repository), and the contact information for two to three academic references.
CONTACTS: Please send application to Kirsten Winther ([email protected]) or contact for further details on the position.