The University of Pennsylvania To begin in January 2004, or as soon as possible thereafter, with an initial 1 or 2 year term. Our laboratory investigates novel statistical and data-mining methods for the analysis of large-scale brain-image databases arising in the setting of stroke, normal aging, trauma, and similar settings. Research will focus on Bayesian methods for analyzing cerebral morphological changes that occur in the setting of disease or normal aging. This project presents challenging interdisciplinary research opportunities, and involves development at the interfaces of statistics, computer science, and neuroscience. The appointee will work with a team of researchers in the Section of Biomedical Image Analysis in the Department of Radiology, along with clinical collaborators at the University of Pennsylvania and at other universities.
Suitable applicants will have a PhD in statistics, computer science, or a related discipline, with an emphasis on Bayesian approaches to data analysis, familiarity with the programming language C (experience with MatLab is also desirable), and interest in biomedical research. We particularly seek applicants with interest and experience in computational statistics, Bayesian networks, and data mining in complex, large-scale interdisciplinary problems. Prior experience in neuroscience is not required. More information on the Section of Biomedical Image Analysis can be obtained from http://www.rad.upenn.edu/sbia/ and http://www.nimh.nih.gov/neuroinformatics/herkov.htm. Please send CV and 3 letters of reference to: Edward H Herskovits, MD, PhD Science Center 3600 Market Street Suite 370, Room 117 Philadelphia, PA 19104 Telephone: 215.615.3705 Facsimile: 215.615.3681
