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Postdoc Fellowship at UC Berkeley (No replies)

bidmap-berkeley
9 months ago
bidmap-berkeley 9 months ago
POSITION:

The BIDMaP Emerging Scholars Program at UC Berkeley is accepting fellowship
applications for our 2024 postdocs.  We seek applications from recent PhDs 
in basic science or data science fields, interested in working at the 
interface of machine learning, the natural sciences and climate change. 

APPLICANT PROFILE: Candidates should have one of the following academic training and research profiles: 1. Computing/statistics/AI/ML training, and eagerness to work with natural scientists to enable new discoveries; or 2. Basic science training in chemistry, physics, biological sciences, or materials science, and eagerness to work with machine learning researchers to accelerate discovery with new computational techniques. We value diversity, equity and inclusion, and encourage applications from members of groups that are traditionally underrepresented in CS, statistics, ML or the natural sciences.

ABOUT BIDMAP Our institute, the Bakar Institute of Digital Materials for the Planet (BIDMaP, https://bidmap.berkeley.edu/) is a new institute in UC Berkeley's College of Computing, Data Science, and Society (CDSS), and is focused on developing new techniques in machine learning that will enhance and accelerate discovery in the natural sciences and development of novel materials to address climate change. To this end, BIDMaP promotes collaboration between world-renowned AI/ML experts and chemists, as well as other physical scientists. Among other new materials, we explore porous materials such as metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) for applications like clean air or water.
HOW TO APPLY We will review the first batch of applications starting November 1, 2023. After this date, applications will be reviewed on a rolling basis until positions are filled. For details on how to apply, please see our official advertisement at the BIDMaP website, https://bidmap.berkeley.edu/opportunities.



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Ab initio (from electronic structure) calculation of complex processes in materials