We have an opening for a Postdoctoral Researcher to conduct research in cheminformatics and materials informatics. You will be part of an interdisciplinary team of computer scientists, materials scientists, and chemists applying existing and developing new machine learning techniques to organic chemistry to accelerate the design and development of materials with targeted properties. This position is in in the Functional Materials Synthesis and Integration Group of the Materials Science Division.

In this role you will

• Apply data science methods to chemistry problems to aide in the discovery of new molecular and polymeric compounds with targeted properties.
• Elucidate via machine learning statistical techniques the underlying chemistry-function relationships to guide improvements in molecular design and synthesis.
• Evaluate existing methods and devise improvements for evaluating "synthesizability" of new model-derived materials.
• Contribute to and actively participate in the development of novel concepts applying machine learning to chemistry and materials science to meet sponsor needs in appropriate national security areas.
• Pursue independent but complementary research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
• Collaborate with scientists in a multidisciplinary team environment to accomplish research goals.
• Maintain and establish laboratory protocols.
• Document research; publish papers in peer-reviewed journals, and present results within the DOE community and at conferences.
• Perform other duties as assigned.