Postdoctoral Fellow, Qianyi Cheng Research Group, University of Memphis (11 January 2023)
The University of Memphis Department of Chemistry invites applications for a postdoctoral fellow position under the direction of Dr. Qianyi Cheng with a proposed start date of May 1st, 2023 or earlier. The candidate must have completed a Ph.D. degree, preferably in Chemistry, Physical Sciences, Material Science, Chemical Engineering, Applied Mathematics, Computer Science, or a related discipline. The work will focus on application of state-of-the-art Data Mining/Natural Language Processing techniques for information extraction, development of classical machine-learning models for protocols and applying the protocol in computational chemistry/biochemistry research. The candidate must also have knowledge on use of high-performance computing facilities. The ideal candidate would demonstrate record of scientific excellence (for example, through publications, talks, or software products) and experience working in a team environment and ability to work collaboratively. Knowledge and practices of NLP/DM/ML principles will be preferred.
Applicants should submit a cover letter, curriculum vita, unofficial transcripts, and a list of three references submitted on-line at https://workforum.memphis.edu/postings/34562
Screening of applications will begin immediately and will continue until the position is filled.