Postdoctoral Position in Medical Big Data Analysis

Stanford University
Location: 
Menlo Park , CA
Job Type: 
Full Time
Closing Date: 
Thursday, April 13, 2017

Description:
A postdoctoral position in medical image analysis is available at the Department of Psychiatry & Behavioral Sciences, Stanford University. The successful candidate will contribute to research and development in the coherent and robust multi-modal analysis of longitudinal neuro or cardiac MR images collected across multiple sites. The research projects are funded in part by the NIH Big Data to Knowledge (BD2K) Initiative, the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA; http://www.ncanda.org; 3K MRI sessions), the Adolescent Brain Cognitive Development Study (ABCD; http://addictionresearch.nih.gov/abcd-study; 20K MRI sessions planned) and the National Heart, Lung, and Blood Institute (NHLBI). The researcher will work in a multidisciplinary research environment closely collaborating and publishing with imaging, computer, and neuroscientists at Stanford University and SRI International.

Qualifications:
We are seeking highly motivated individuals who have demonstrated academic excellence, including publications in first-class journals and conferences. Successful candidates should have a PhD (or equivalent) in Computer Science, Applied Mathematics/Statistics, Electrical or Biomedical Engineering, Psychology, or related field. Experience in medical image analysis and machine learning is highly desirable.

Laboratory:
The Stanford - SRI Joint Neuroscience Program is federally funded to perform multidisciplinary and translational research focusing on substance abuse, sleep, HIV, adolescent brain development, and cardiac diseases by combing state-of-the-art neuropsychological testing with imaging technology. Imaging studies are performed on MR imaging systems on the SRI site and in collaboration with other centers, such as those being part of NCANDA and ABCD. The studies are supported by the software platform Scalable Informatics for Biomedical Imaging Studies (SIBIS; https://sibis.sri.com/), which is developed by the program’s interdisciplinary team of researchers consisting of clinicians, computer scientists, data scientists, physicists, and psychologists. Members of the team have appointments at SRI International or Stanford.

Application:
Please send applications (curriculum vita and contact information of three references) or questions to kilian.pohl@sri.com

Kilian M. Pohl
Program Director of Biomedical Computing 
Center for Health Sciences
SRI International

http://sibis.sri.com/Kilian.Pohl/