Job Description

Specific duties will involve the implementation, refinement, and validation of de-identification software (software for removing identifying features from MRI head/brain scans) and the evaluation of brain-tissue segmentation algorithms using qualitative and quantitative metrics.

Qualifications

Current University of Minnesota graduate or professional program student. The ideal candidate will have competency in C/C++, Unix/Linux, a scripting language such as Perl, the mathematical aspects of computer graphics and computational geometry, and numerical methods including optimization theory. In addition, he/she will be familiar with user interfaces and visualization toolkits and have a basic knowledge of neuroanatomy. Experience with IDL, MATLAB and Java is desirable.

Postdoctoral Position in Computational Neuroanatomy

Education and Degree Required

Ph.D. in Neuroscience, Bioengineering or a related discipline with a strong background in computer science and the mathematical aspects of computer graphics and computational geometry.

Job-related Experience Required

The primary focus of this research position is the refinement, and validation of de-identification software (software for removing identifying features from MRI head/brain scans) and the quantitative assessment of brain-tissue segmentation algorithms. The ideal candidate will possess strong scientific programming skills and familiarity with image processing, statistics, computational geometry, scientific visualization, and neuroanatomy. He/she will have competency in C/C++, Unix/Linux, a scripting language such as Perl, and demonstrated ability in written and oral communications. Experience with IDL, MATLAB and Java is highly desirable.

Job Duties and Responsibilities

Major responsibility: refinement, and validation of de-identification software
Duties and tasks:

1. Acquire and/or implement de-identification software
2. Evaluate the impact of de-identification on MRI pre-processing algorithms ("brain stripping", nonuniformity correction, brain-tissue segmentation, etc.)
3. Incorporate de-identification software into image-processing pipelines

Major responsibility: quantitative assessment of brain-tissue segmentation algorithms
Duties and tasks:

1. Identify, acquire, and implement brain-tissue segmentation software
2. Evaluate performance (e.g., precision, accuracy) of same on test suite of MRI volumes
3. Implement web service for evaluate of user-supplied segmentation algorithms

Send curriculum vitae and the names of three references by email to or to

	D.A. Rottenberg, M.D.
	Professor of Neurology and Radiology
	University of Minnesota
	c/o Minneapolis VA Medical Center (11P)
	Minneapolis, MN 55417