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Assistant Professor of Computational Science, Tenure Track

Posting Details

Posting Summary

Posting Number FAC00064PO17
Classification Title Assistant Professor
Internal Title Assistant Professor of Computational Science, Tenure Track
Campus Beaufort 03
College/Division USC Beaufort College/Division Level
Department USC Beaufort Instruction
Advertised Salary Range Commensurate with experience
Location of Vacancy
Part/Full Time Full Time
Hours per week 37.5
Hours per year 1462.5
Position Category Full-time Equivalent (FTE)
Basis 9 months
Work County Beaufort 07
Tenure Information Tenure-Track/Tenured
Job Search Category

About UofSC

The University of South Carolina System is comprised of the state's flagship university in Columbia (founded in 1801 and currently one of the top 50 "Best Colleges" according to U.S. News and World Report), three regional comprehensive universities (USC Aiken, USC Beaufort and USC Upstate), and Palmetto College consisting of four two-year campuses (USC Lancaster, USC Salkehatchie, USC Sumter, USC Union and Fort Jackson/Extended University). Together, the USC System institutions offer more than 450 degree programs on campus and online and are uniquely positioned to meet the state's educational, cultural, health and research needs. The System employs nearly 14,000 people who work daily to improve the lives of students, fellow South Carolinians and the world. Our diverse engaged faculty and staff enjoy a dynamic and intellectually stimulating work environment.

Benefits for FTE Positions

The University of South Carolina (UofSC), through the State of SC and Public Employee Benefit Authority (PEBA), offers state employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the benefits section on the Applicant Portal.

Position Description

Advertised Job Summary

The Department of Mathematics and Computational Science at the University of South Carolina Beaufort (www.uscb.edu/cs) invites applications for a tenure-track faculty at the rank of Assistant Professor to begin spring 2018. Candidates are expected to have an earned doctorate in either (a) Computer (or Computational) Science with significant training in Materials Engineering, or (b) Materials Engineering with significant training in Computer/Computational Science at the time of employment. Successful candidates will be able to teach undergraduate and graduate courses in Computational Science that focus on data analysis, modeling and simulation, and mechanics and materials. Preferred candidates are expected to become strong participants in multi-disciplinary research teams formed by researchers from universities across the state.

The expected teaching load in Computational Science is 9 credit hours per semester, and the new hire will receive substantial course releases from an NSF grant for the first two years. Besides teaching and research, responsibilities include professional and university service.

Salary is competitive and commensurate with qualifications and experience. Summer school teaching is possible on an as needed basis.

Applicants must submit on-line a cover letter, curriculum vitae, statements of research interest and teaching philosophy, and copies of graduate transcripts. Three letters of recommendation (with at least one letter addressing teaching) must be received as soon as possible.

Application procedures: Applicants must complete the Academic Personal Information form on-line at https://uscjobs.sc.edu. Items required can be attached electronically or mailed to Chair, Computational Science Search Committee, c/o Human Resources, University of SC Beaufort, One University Boulevard, Bluffton, SC 29909. Official transcripts will be required for the finalist chosen for employment. If you have any problems or questions using the on-line system please contact the USCB Human Resources Office at 843-208-8144 for assistance.

Required Education and Experience

Candidates are expected to have an earned doctorate in either (a) Computer (or Computational) Science with significant training in Materials Engineering, or (b) Materials Engineering with significant training in Computer/Computational Science at the time of employment.

Successful candidates will be able to teach undergraduate and graduate courses in Computational Science that focus on data analysis, modeling and simulation, and mechanics and materials.

Preferred Qualifications

Preferred candidates are expected to become strong participants in multi-disciplinary research teams formed by researchers from universities across the state.

Posting Detail Information

Desired Start Date 01/02/2018
Job Open Date 08/18/2017
Job Close Date
Open Until Filled Yes
Special Instructions to Applicant
Quicklink for Posting http://uscjobs.sc.edu/postings/18103
EEO Statement

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.

Funding Information

Position Attributes

Safety Sensitive or Security Sensitive No

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * Are you willing and able to submit to a pre-employment background check that may include, but it is not limited to, criminal history, national sex offender search and motor vehicle history as a condition of hire?
    • Yes
    • No
  2. * Do you have an earned doctorate in either (a) Computer (or Computational) Science with significant training in Materials Engineering, or (b) Materials Engineering with significant training in Computer/Computational Science at the time of employment.
    • Yes
    • No

Applicant Documents

Required Documents
  1. Cover Letter
  2. Curriculum Vitae
  3. Letter of Recommendation 1
  4. Letter of Recommendation 2
  5. Letter of Recommendation 3
Optional Documents
  1. Other Supporting Documents
  2. Research Portfolio
  3. Resume
  4. Teaching Portfolio
  5. List of References and Contact Information