Tenure-Track Assistant Professor

Location
Columbia, South Carolina
Salary
Salary Commensurate with Experience and Qualifications
Posted
Sep 07, 2018
Closes
Oct 09, 2018
Job Type
Full time

The Department of Chemistry and Biochemistry at the University of South Carolina invites applications for a tenure-track Assistant Professor position in the area of Computational Polymer Chemistry, with a start date of August 16, 2019. Candidates should have a Ph.D. and postdoctoral experience in organic, polymer or computational chemistry, materials science, or polymer science and engineering or related discipline. The Department has vigorous research and comprehensive infrastructures in macro/supramolecular sciences. The successful candidate is expected to develop a highly recognized, externally funded research program focused on understanding and predicting the dynamic behavior of macromolecules in complex environments (interfaces, surfaces, etc.) of multiphase or heterogeneous systems, such as block copolymers, supramolecular polymers, biomacromolecules, polymer/particle mixtures and adaptive or responsive polymers. Candidates are expected to have expertise in macro/supramolecular modeling and method development for large-scale dynamic simulations and advanced data analysis. Candidates are also expected to strive for excellence in teaching of undergraduate general or organic chemistry, as well as more specialized and graduate courses. All applicants must fill out an application through the online employment system “USC Jobs” at https://uscjobs.sc.edu/postings/40411. Candidates should be prepared to upload a CV, a cover letter, research plans, and teaching interests. Three letters of recommendation are required to be submitted via the uscjobs system. 

For full consideration, complete applications must be received no later than November 1, 2018. 

The University of South Carolina is an affirmative action, equal opportunity employer. Minorities and women are encouraged to apply. The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, color, religion, national origin, sex, sexual orientation, gender, age, disability, veteran status or genetics.