Postdoctoral Fellowship in developing mathematical and computational methods for medical imaging

Announcer: 
Dr. Mini Das
Organization: 
University of Houston
City: 
Houston
Country: 
USA
Email: 
mdas@uh.edu
Job Description: 

A postdoctoral fellowship is available at the University of Houston (UH) starting immediately. The successful candidate will work on a collaborative project involving researchers in the UH BME and Physics Departments to develop and evaluate novel mathematical and computational methods for x-ray tomography and image quality assessment. This area is highly interdisciplinary and allows excellent prospects for future jobs. Topics of interest include digital breast tomosynthesis, spectral x-ray detection, phase contrast imaging and image reconstruction methods. Image quality assessment methods will include conducting human observer studies (ROC, LROC) and using eye tracking experiments to develop a new visual search mathematical model observer.
Highly motivated individuals with a Ph.D. in physics, mathematics, computer science, engineering or related field are invited to apply. Strong analytical, mathematical and computer programming skills (C/C++ and Linux shell scripting) are essential, as are good communication skills. Candidates with experience in radiological/nuclear medical imaging areas, tomographic image reconstruction, simulation methods, Monte Carlo methods (GEANT, PENELOPE) and/or image analysis are desirable. The opportunity to test new results with laboratory/clinical data is available. Candidates will benefit from strong collaboration opportunities with our clinical and industrial partners. Experience with IDL/Matlab and parallel computing is desirable.
Interested candidates should send a copy of their CV, statement of research interests and career goals along with the names and addresses of three references to Dr. Mini Das (email: mdas@uh.edu web: www.ipl.uh.edu). This position offers competitive salary, benefit packages and career development opportunity.

Job Categories: 
Postdoctoral fellowships
Keywords: 
x-ray imaging, statistical reconstruction methods, mathematical model observer