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Postdoctoral Researcher – Robotic Experimentation and Data Science for Energy Storage Materials
Categories: Post-Doc/Fellowship
Date: 3/2/2021
Location:
University of Kentucky, Lexington, Kentucky USA
b>Position Description: Chad Risko (risko.at.uky.edu) and Dave Eaton at the Center for Applied Energy Research (CAER) and in the Department of Chemistry at the University of Kentucky (UK) are seeking outstanding, highly motivated candidates for an immediate Postdoctoral Researcher opening working in the fields of robotic/autonomous experimentation and data science and data curation. Working in the context of a multidisciplinary National Science Foundation Established Program to Stimulate Competitive Research (NSF EPSCoR), this program is funding synthetic, experimental, and computational chemists and data scientist. The Postdoctoral Researcher will join at the beginning of this exciting venture to design and deploy robotic/autonomous characterization instruments to collect and curate data that will be used in the development of machine learning algorithms to enhance the discovery of liquid-based energy storage materials for new generations of batteries.
Prospective candidates should have a strong background in electrochemistry and spectroscopy. Experience with the design and deployment of autonomous experimentation and synthesis and machine learning / data-driven modeling provide an advantage for the applicant, as is experience with quantum-chemical calculations. If the candidate does not meet each of these requisites, a willingness to learn is essential. Strong written and verbal communication skills are required for this position, especially in the context of a highly multidisciplinary effort. As part of the Postdoctoral training, the applicant will be required help supervise and train graduate and undergraduate students with varied disciplinary backgrounds.
The initial appointment will be for one year with possible extension. The position is open to start as soon as possible. For information on the project and position, interested candidates are encouraged to contact Chad Risko by email at
chad.risko@uky.edu
. Please include a CV, brief description of research interests, and contact information for three professional references.
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