Position Title: Assistant Research Professor

Duties & Responsibilities: Research Area: Statistical Evaluation of Error Rates for Graph-Based Identification Technologies Project Description: Graph-based technologies have proven to be an effective method for dealing with the complexities of handwriting biometric data. These methods have demonstrated high accuracy rates in a number of languages. Preliminary research has also demonstrated that graph-based technologies can be applied to other biometric modalities besides handwriting. An important tool for extending graph-based methods to new modalities is the ability to provide a statistical estimate of the accuracy of the procedure. The accuracy of the method will depend upon the quality of the quantification procedure and the ability of the statistical component of the classifier to use the information retained in the quantification procedure. The accuracy of a classification method or the corresponding error rates are parameters that can be statistically estimated. The primary activity of the proposed research is to develop a standard set of tools to estimate the accuracy of a classification procedure. This research will facilitate the development and extension of graph-based quantification technologies to new modalities, thereby providing concrete guidance on the improvements gained or not gained over traditional methods.

Position Qualifications: A U.S. citizen who has recently graduated (or will be graduating by the fellowship start date) from an accredited Ph.D. program within the last five years.

Salary Range: TBD

Benefits: TBD

Web Site: http://www.icpostdoc.org/

Application Address: Dr. Christopher Saunders, Principal Investigator George Mason University Fairfax, Virginia 22030 703-993-9333

Contact Email: csaunde6@gmu.edu

Application Deadline: until filled