Mission statement: "To provide leadership and achieve excellence in research and education on image computing and programmable mediaprocessors."

Position Announcement (Post Doctoral Fellows in Image Computing Systems Laboratory)

The  Image  Computing  Systems  Laboratory  (ICSL)  of  the  Departments  of  Bioengineering
and Electrical Engineering at the University of Washington has multiple postdoctoral fellow
positions open in medical imaging and computing. 
 
The  ICSL  currently  focuses  on  the  research  and  development  of  ultrasound  imaging
algorithms  and  systems  and  their  clinical  applications,  ranging  from  coronary  Doppler
vibrometry  and  ultrasound  thyroid  elastography  to  applying  low‐cost  technologies  in  the
developing countries.   
 
The  successful  candidate  must  have  a  doctorate  degree  in  electrical  engineering,
bioengineering,  computer  science,  mechanical  engineering,  physics  or  a  field  suitable  for
interdisciplinary  medical  imaging  research.    Training  and  research  experience  in  one  or
more  of  the  following  areas  are  required:  acoustics,  signal  processing,  image  processing,
computer architecture, efficient algorithm implementation on processors, medical imaging,
particularly ultrasound imaging, or clinical applications.  Also, experience in working in a
clinical environment is desired.  
 
Seattle area is home to many major academic institutes and hi‐tech companies (including

"Bubbling under"

A nice story from Economist on diagnostic and therapeutic ultrasound: Bubbling under .

Ray's farewell pictures

Check out the pictures from Ray's farewell!

IBM Announces Winners of Shared University Research Awards

Chair Yongmin Kim leads Bioengineering's IBM SUR grant

Ongoing changes

Our main site for ICSL is undergoing drastic changes. Please stay tuned as we update our pages with the latest information, and integrate old pages into the new content management system.

About Us

The Image Computing Systems Laboratory researches topics in image processing, medical imaging, and computer imaging.

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