The Materials Science Division at Argonne National Laboratory is inviting applications for a Postdoctoral Appointee in the area of AI for Materials Chemistry. This position focuses on advancing research in materials chemistry, particularly in the domains of energy storage and conversion, by leveraging artificial intelligence and advanced computational techniques. The successful candidate will join a dynamic research environment and contribute to both fundamental and applied projects at the intersection of materials science, chemistry, and computer science. Applicants should hold a Ph.D. in materials science, chemistry, or a closely related field. Candidates who are currently enrolled in a Ph.D. program are eligible to apply, provided they can show proof of degree conferral by the start date. Required application materials include a CV or resume, unofficial Ph.D. transcripts, and, if already awarded, a copy of the Ph.D. diploma. The position is a paid postdoctoral appointment, though specific details regarding funding, stipend, or benefits are not disclosed in the announcement. Research topics include the use of artificial intelligence to solve challenges in materials chemistry, with a strong emphasis on energy storage and conversion. The role offers an excellent opportunity for early-career researchers to develop expertise in computational materials science and AI-driven research, working alongside leading scientists in the field. The position is based at Argonne National Laboratory, a premier research institution in the United States. To apply, candidates should submit their application via the Workday portal, following the provided link. The application should include all required documents as attachments. For more information, refer to the official job posting or contact the supervisor, Professor Srestha B. at Sister Nivedita University, who is associated with the announcement.